Secure Password Manager Using AES 256 Encryption Python — Complete Documentation & Simulation

Overview & System Context

Secure Password Manager Using Aes 256 Encryption Python: Comprehensive Web-Sourced Technical Investigation Exhaustive Research Dossier · Pure Web-Scraped Content: ~9188 Words · Real Software Screenshots: 3 1. Executive Overview & Technical Background ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed. The ZIP file format permits a number of compression algorithms, though DEFLATE is the most common. This format was originally created in 1989 and was first implemented in PKWARE, Inc.'s PKZIP utility, as a replacement for the previous ARC compression format by Thom Henderson. The ZIP format was then quickly supported by many software utilities other than PKZIP. The ZIP format is natively supported on major operating systems (e.g. Android, ChromeOS, iOS, Linux, macOS, and Windows). It is typically built into an operating system's file management application. ZIP files generally use the file extensions .zip or .ZIP and the MIME media type application/zip. ZIP is used as a base file format by many programs, usually under a different name. When navigating a file system via a user interface, graphical icons representing ZIP files often appear as a document or other object prominently featuring a zipper.

2.0: (1993) File entries can be compressed with DEFLATE and use traditional PKWARE encryption (ZipCrypto). 2.1: (1996) Deflate64 compression support (claimed in APPNOTE 6.1.0 published much later). APPNOTE may not have been published for 2.1. 2.5: PKWARE DCL Implode compression. APPNOTE may not have been published for 2.5. 2.5: Deflate64 compression support (claimed in later user manuals, e.g. in 2004.) 4.0: (2000) Deflate64 compression support (according to information provided by Jim Peterson, Chief Scientist, PKWARE, to the Library of Congress; and APPNOTE 4.0). 4.5: (2001) Documented 64-bit zip format. 4.6: (2001) BZIP2 compression (not published online until the publication of APPNOTE 5.2) 5.0: (2002) SES: DES, Triple DES, RC2, RC4 supported for encryption (not published online until the publication of APPNOTE 5.2) 5.2: (2003) AES encryption support for SES (defined in APPNOTE 5.1 that was not published online) and AES from WinZip ("AE-x"); corrected version of RC2-64 supported for SES encryption. 6.1: (2004) Documented certificate storage.

6.2.0: (2004) Documented Central Directory Encryption. 6.3.0: (2006) Documented Unicode (UTF-8) filename storage. Expanded list of supported compression algorithms (LZMA, PPMd+), encryption algorithms (Blowfish, Twofish), and hashes. 6.3.1: (2007) Corrected standard hash values for SHA-256/384/512. 6.3.2: (2007) Documented compression method 97 (WavPack). 6.3.3: (2012) Document formatting changes to facilitate referencing the PKWARE Application Note from other standards using methods such as the JTC 1 Referencing Explanatory Report (RER) as directed by JTC 1/SC 34 N 1621.

6.3.4: (2014) Updates the PKWARE, Inc. office address. 6.3.5: (2018) Documented compression methods 16, 96 and 99, DOS timestamp epoch and precision, added extra fields for keys and decryption, as well as typos and clarifications. 6.3.6: (2019) Corrected typographical error. 6.3.7: (2020) Added Zstandard compression method ID 20. 6.3.8: (2020) Moved Zstandard compression method ID from 20 to 93, deprecating the former. Documented method IDs 94 and 95 (MP3 and XZ respectively). 6.3.9: (2020) Corrected a typo in Data Stream Alignment description. 6.3.10: (2022) Added several z/OS attribute values for APPENDIX B. Added several additional 3rd party Extra Field mappings. WinZip, starting with version 12.1, uses the extension .zipx for ZIP files that use compression methods newer than DEFLATE; specifically, methods BZip, LZMA, PPMd, Jpeg and Wavpack. The last 2 are applied to appropriate file types when "Best method" compression is selected.

Files in ZIP archives may only be stored uncompressed, or using the "deflate" compression (i.e. compression method may contain the value "0" - stored or "8" - deflated). The patent on the core "deflate" compression method expired in late 2010. The encryption features are prohibited. The digital signature features (from SES) are prohibited. The "patched data" features (from PKPatchMaker) are prohibited. Archives may not span multiple volumes or be segmented.

A ZIP file is correctly identified by the presence of an end of central directory record which is located at the end of the archive structure in order to allow the easy appending of new files. If the end of central directory record indicates a non-empty archive, the name of each file or directory within the archive should be specified in a central directory entry, along with other metadata about the entry, and an offset into the ZIP file, pointing to the actual entry data. This allows a file listing of the archive to be performed relatively quickly, as the entire archive does not have to be read to see the list of files. The entries within the ZIP file also include this information, for redundancy, in a local file header. Because ZIP files may be appended to, only files specified in the central directory at the end of the file are valid. Scanning a ZIP file for local file headers is invalid (except in the case of corrupted archives), as the central directory may declare that some files have been deleted and other files have been updated. For example, we may start with a ZIP file that contains files A, B and C. File B is then deleted and C updated. This may be achieved by just appending a new file C to the end of the original ZIP file and adding a new central directory that only lists file A and the new file C. When ZIP was first designed, transferring files by floppy disk was common, yet writing to disks was very time-consuming. If you had a large zip file, possibly spanning multiple disks, and only needed to update a few files, rather than reading and re-writing all the files, it would be substantially faster to just read the old central directory, append the new files then append an updated central directory. The order of the file entries in the central directory need not coincide with the order of file entries in the archive. Each entry stored in a ZIP archive is introduced by a local file header with information about the file such as the comment, file size and file name, followed by optional "extra" data fields, and then the possibly compressed, possibly encrypted file data. The "Extra" data fields are the key to the extensibility of the ZIP format. "Extra" fields are exploited to support the ZIP64 format, WinZip-compatible AES encryption, file attributes, and higher-resolution NTFS or Unix file timestamps. Other extensions are possible via the "Extra" field. ZIP tools are required by the specification to ignore Extra fields they do not recognize. The ZIP format uses specific 4-byte "signatures" to denote the various structures in the file. Each file entry is marked by a specific signature. The end of central directory record is indicated with its specific signature, and each entry in the central directory starts with the 4-byte central file header signature. There is no BOF or EOF marker in the ZIP specification. Conventionally the first thing in a ZIP file is a ZIP entry, which can be identified easily by its local file header signature. However, this is not necessarily the case, as this is not required by the ZIP specification - most notably, a self-extracting archive will begin with an executable file header. Tools that correctly read ZIP archives must scan for the end of central directory record signature, and then, as appropriate, the other, indicated, central directory records. They must not scan for entries from the top of the ZIP file, because (as previously mentioned in this section) only the central directory specifies where a file chunk starts and that it has not been deleted. Scanning could lead to false positives, as the format does not forbid other data to be between chunks, nor file data streams from containing such signatures. However, tools that attempt to recover data from damaged ZIP archives will most likely scan the archive for local file header signatures; this is made more difficult by the fact that the compressed size of a file chunk may be stored after the file chunk, making sequential processing difficult. Most of the signatures end with the short integer 0x4b50, which is stored in little-endian ordering. Viewed as an ASCII string this reads "PK", the initials of the inventor Phil Katz. Thus, when a ZIP file is viewed in a text editor the first two bytes of the file are usually "PK". (DOS, OS/2 and Windows self-extracting ZIPs have an EXE before the ZIP so start with "MZ"; self-extracting ZIPs for other operating systems may similarly be preceded by executable code for extracting the archive's content on that platform.) The .ZIP specification also supports spreading archives across multiple file-system files.

Originally intended for storage of large ZIP files across multiple floppy disks, this feature is now used for sending ZIP archives in parts over email, or over other transports or removable media. The FAT filesystem of DOS has a timestamp resolution of only two seconds; ZIP file records mimic this. As a result, the built-in timestamp resolution of files in a ZIP archive is only two seconds, though extra fields can be used to store more precise timestamps. The ZIP format has no notion of time zone, so timestamps are only meaningful if it is known what time zone they were created in. In September 2006, PKWARE released a revision of the ZIP specification providing for the storage of file names using UTF-8, finally adding Unicode compatibility to ZIP.

Figure 1: AES Password Manager in Python | PDF The extra field contains a variety of optional data such as OS-specific attributes. It is divided into records, each with at minimum a 16-bit signature and a 16-bit length. A ZIP64 local file extra field record, for example, has the signature 0x0001 and a length of 16 bytes (or more) so that two 64-bit values (the uncompressed and compressed sizes) may follow. Another common local file extension is 0x5455 (or "UT") which contains 32-bit UTC UNIX timestamps. This is immediately followed by the compressed data.

This ordering allows a ZIP file to be created in one pass, but the central directory is also placed at the end of the file in order to facilitate easy removal of files from multiple-part (e.g. "multiple floppy-disk") archives, as previously discussed. On the other hand, the format of EOCD for ZIP64 is slightly different from the normal ZIP version. The EOCD64 is not necessarily the last record in the file. It is followed by a 20 byte End of Central Directory Locator, and the classic EOCD record.

Figure 2: xsukax AES-256 File/Folder Encryption/Decryption Tool - xsukax The File Explorer in Windows XP does not support ZIP64, but the Explorer in Windows Vista and later do. Likewise, some extension libraries support ZIP64, such as DotNetZip, QuaZIP and IO::Compress::Zip in Perl. Python's built-in zipfile supports it since 2.5 and defaults to it since 3.4. OpenJDK's built-in java.util.zip supports ZIP64 from version Java 7. Android Java API support ZIP64 since Android 6.0. Mac OS Sierra's Archive Utility notably does not support ZIP64, and can create corrupt archives when ZIP64 would be required. However, the ditto command shipped with Mac OS will unzip ZIP64 files. More recent versions of Mac OS ship with info-zip's zip and unzip command line tools which do support Zip64: to verify run zip -v and look for "ZIP64_SUPPORT".

Check for the presence of the Unicode Path Extra Field, and if it exists, use the filename from it, encoded in UTF-8. Check for the presence of flag 11 in the General purpose bit flag field, and if it is set, consider the filename encoding in the "File name" field to be UTF-8. If the "packing OS" field contains the value 11 (NTFS, Windows), and the "version of the packer" field value is greater than or equal to 20, consider the filename encoding in the "File name" field to be the ANSI (Windows) encoding corresponding to the system locale if one can be determined; otherwise, use CP437. If the "packing OS" field contains the value 0 (FAT, DOS), and the "version of the packer" field value is between 25 and 40 inclusive, consider the filename encoding in the local header's "File name" field to be ANSI (Windows) encoding, and in the central header's "File name" field to be OEM (DOS) encoding, corresponding to the system locale if one can be determined; otherwise, use CP437. In other cases, if the "OS packing" field contains the value 0 (FAT, DOS), 6 (HPFS, OS/2), or 11 (NTFS, Windows), consider the filename encoding in the "File name" field to be OEM (DOS) encoding, corresponding to the system locale if one can be determined; otherwise, use CP437. In all other cases, consider the filename encoding in the "File name" field to be the system encoding of operating system the unpacker is running on. If the wrong encoding is used to decode the file names, users end up seeing a chaotic set of characters, known as "mojibake", instead of letters of the national alphabet. The above algorithm tries its best to avoid such a result. Instead of the "system locale" and "system encoding", some programs let the user select the desired non-Unicode encoding. In 2016, this problem was solved in the far2l file and archive manager for Linux, BSD and Mac. In 2024, similar solution was added to the version of 7zip used in the Debian distribution and its derivatives, and to the version of unzip used in the Ubuntu distribution and its derivatives.

ISO/IEC 21320-1:2015 — Document Container File — Part 1: Core Zip Files: History, Explanation and Implementation Shrink, Reduce, and Implode: The Legacy Zip Compression Methods APPNOTE.TXT mirror Structure of PKZip file Format specifications, graphical tables Telegram (also known as Telegram Messenger) is a Russian-Emirati cloud-based, cross-platform social media and instant messaging (IM) service. It launched for iOS on 14 August 2013 and Android on 20 October 2013. It allows users to exchange messages, share media and files, and hold private and group voice or video calls as well as public livestreams. It is available for Android, iOS, Windows, macOS, Linux, Wear OS, watchOS and web browsers. Telegram offers end-to-end encryption in voice and video calls, and optionally in private chats if both participants use a mobile device. Telegram also has social networking features, allowing users to post stories, create public groups with up to 200,000 members, and share one-way updates to unlimited audiences in so-called channels. Telegram was founded in 2013 by Pavel and Nikolai Durov. Its servers are distributed worldwide with several data centers, and its headquarters are in Dubai, United Arab Emirates. It was the most downloaded app worldwide in January 2021, with a billion downloads globally as of late August 2021. As of 2024, registration to Telegram requires either a phone number and a smartphone or one of a limited number of non-fungible tokens (NFTs) issued in 2022. As of March 2025, Telegram has more than 1 billion monthly active users, with India as the country with the most users.

Figure 3: GitHub - Cyberbuddhika/Mordern_password_manager_python-customtkinter ... On 3 August 2026, Telegram became unavailable for download from the iPhone and iPad App Store. The removal lasted several hours, during which people who had already installed Telegram could continue using it. Telegram subsequently announced that the application had returned to the store. An Apple spokesperson said that the company's review had found content violating its strict guidelines against child sexual abuse material (CSAM). Apple said that Telegram was restored on the same day after its developer removed the content and banned the user who had posted it. Apple did not publicly give further details about the original report, the location of the material on Telegram, or why the entire application was removed before Telegram was contacted. Telegram criticized Apple's decision to remove the entire application because of material posted by one user. Telegram spokesperson Remi Vaughn said Apple had been wrong to disrupt legitimate communication by the service's users over the actions of a single person. Responding to Apple's explanation on X, Telegram questioned whether Apple would apply the same standard equally to all other applications in the App Store. Telegram also linked to its safety overview, which states that the service removes many groups, channels, and pieces of content that violate its terms of service. Telegram said it had blocked more than 337,900 groups and channels associated with CSAM during 2026 by the time of the incident. That figure has not been independently audited. Epic Games chief executive Tim Sweeney questioned how large-scale communication services could operate if a single user's illegal post was sufficient for an entire application to be removed. He also questioned whether Apple would apply the same standard to its own iMessage service. On 4 August, Telegram founder Pavel Durov alleged that the prohibited material had been deliberately placed in a public group by a person engaged in what he called "takedown extortion". According to Durov, such attackers demand payment from the administrators of online communities and threaten to plant illegal material and report it to application-store operators if payment is refused.

Durov said the person responsible for the incident had inserted AI-modified illegal material by editing an older message in an active group. He said this made the material difficult for ordinary group members to notice and report. Durov also criticized Apple, saying it removed Telegram before contacting the company. He argued that the decision created a systemic risk for any application hosting user-generated content, because coordinated attackers could attempt to cause the removal of legitimate applications or online communities by planting prohibited material. Apple did not confirm Durov's account of the incident.

To use Telegram, a user must sign up with their phone number or an anonymous +888 number purchased from the Fragment blockchain platform. Changing the phone number in the app will automatically reassign the user's account to that number without exporting data or notifying their contacts. Phone numbers are hidden by default, with only a user's contacts able to see them. Sign-ups can be done only on an Android or iOS device. Messages users send and receive are tied to their numbers and custom usernames, not the device. Telegram content is synced between users' logged-in devices automatically through cloud storage, except for device-specific secret chats. By default, any account that is inactive for 6 months is deleted, but the period can be shortened or extended up to 18 months. Telegram allows groups, bots and channels with a verified social media or Wikipedia page to be verified, but not individual user accounts. Messages can contain formatted text, media, files up to 2 GB (4 GB with Premium), locations, and audio or video messages recorded in-app. Telegram messages in private chats can be edited for up to 48 hours; an "edited" icon indicates changes. Messages may also be deleted for both sides without a trace. Users may delete messages and whole chats for both themselves and other participants. Chats can be exported to preserve them via Telegram's Desktop client, but the saved data cannot be imported back into the user's account. Users can import chat history, including both messages and media, from WhatsApp, Line, and KakaoTalk due to data portability, making a new chat to hold the messages or adding them to an existing one. As users can be logged into many devices at once, starting to type a message on one of them will create a "cloud draft" that syncs with others, so that typing can be started on a phone and finished on a laptop, for example. Any message can be translated by opening the context menu. Premium users can translate a whole chat with one click. Users can hide the translate button for messages written in specific languages.

Reactions can be used to respond to a message with emoji. Premium users have access to more reaction choices and can leave more reactions per message. Reactions are always on in private chats and can be enabled by admins in groups and channels. Specific reactions can be allowed or excluded. Reaction emoji play an animation with special effects. Users can also send stickers, which can be static, animated or video. Sticker packs are made by Telegram designers as well as regular users and can be shared via links. They use the WebP or WebM format and do not require special software to create or upload. Some stickers feature full-screen effects that play out when first sent or when tapped. Users can schedule messages to send at a particular time or when their conversation partner comes online, as well as choose to send a message "without sound" without a notification. Messages from private chats can be forwarded, with an option to hide the original sender's identity or to hide captions from media messages. Forwarded messages also maintain reply formatting, able to show which messages in a thread are replying to others. Any user can also send a message to a special "Saved Messages" chat as a form of bookmarking them. The contents of the chat are only visible to the user.

Chats can be sorted into folders to organize them with preset options like "Unread" and "Muted" or custom separations such as "Work" and "Family". Premium users have the ability to set any chat folder as the default screen in the app while regular users will always see the full chat list when first opening the app. Users have the option to start a one-on-one, end-to-end-encrypted "Secret Chat", which remains accessible only on the device on which it started and self-destructs upon logging out. Secret Chats restrict screenshotting by Android devices and warn when one is taken on an iOS device, while also hiding the chat contents from the final image. Secret Chats support perfect forward secrecy and switch encryption keys after a key has been used 100 times or a week has passed. Secret Chats are available only on Android, iOS, and macOS clients.

Both in Secret and regular chats, messages can self-destruct after they are read, disappearing for all parties after a period set by the user, ranging from one day to one year. In April 2021, the Payments 2.0 upgrade enabled bot payments within any chat, using third-party services such as Sberbank, Tranzoo, Payme, CLICK, LiqPay and ECOMMPAY to process the credit card information. Bots are also commonly used for businesses to communicate with customers as the bot APIs integrate with communication platforms so that Telegram messages can be sent and received in an omnichannelinbox. These platforms also enable businesses to add Telegram chat widget to their websites and gives them the option to automate conversations or let human agents reply. Examples of platforms providing Telegram bot integration include respond.io, Manychat and Trengo. In February 2018, Telegram launched its social login feature, Telegram Login. It features a website widget that can be embedded into websites, allowing users to sign into a third party website with their Telegram account. The gateway sends the user's Telegram name, username, and profile picture to the website owner, while the user's phone number remains hidden. The gateway is integrated with a bot, which is linked with the developer's specific website domain. In June 2021, an update introduced a new bot menu where users can browse and send commands while in a chat with a bot. In April 2022, bots gained support for customized interfaces and inline page loading. Interfaces can be adjusted to match the app's theme even if it changes while interacting with the bot. In October 2024, Telegram added increased messaging limits for bots, allowing bots to send up to 1000 messages per second to their users. Messages beyond the free limit of 30 per second are paid for using Telegram Stars. Telegram introduced affiliate programs in December 2024 that allow developers to create an affiliate program for their bot or mini app. Any Telegram user can join the affiliate program and be rewarded for referring others to the bot or mini app by receiving a commission from purchases made by the people they referred.

People can use their Telegram accounts to author articles on Telegraph – a minimalistic text editor and publisher. While articles on Telegraph can be published anonymously, tying them to one's account allows one to check their view count and edit them later. Telegraph natively supports Instant View, a feature which lets users read full articles in the chat with no load time and without opening an external browser. When an article is first published, the URL is generated automatically from its title. Non-Latin characters are transliterated, spaces are replaced with hyphens, and the date of publication is added to the address. For example, an article titled "Telegraph (blog platform)" published on 17 November would receive the URL /Telegraph-blog-platform-11-17. Text formatting options are also minimal: two levels of headings, single-level lists, bold, italics, quotes, and hyperlinks are supported. Authors could upload images and videos to the page, with a limit of 5 MB, however, it has been disabled since September 2024. When an author adds links to YouTube, Vimeo, or Twitter, the service allows you to embed their content directly in the article. In February 2018, Telegram launched their social login feature to its users, named Telegram Login. It features a website widget that could be embedded into websites, allowing users to sign into a third party website with their Telegram account. The gateway sends users' Telegram name, username, and profile picture to the website owner, while users' phone number remains hidden. The gateway is integrated with a bot, which is linked with the developer's specific website domain. In July 2018, Telegram introduced their online authorization and identity-management system, Telegram Passport, for platforms that require real-life identification. It asks users to upload their own official documents such as passport, identity card, driver license, etc. When an online service requires such identification documents and verification, it forwards the information to the platform with the user's permission. Telegram stated that it does not have access to the data, while the platform will share the information only with the authorized recipient. However, the service was criticised for being vulnerable to online brute-force attacks. In December 2020, Telegram launched a Bugs and Suggestions platform, where users can submit bug reports and suggestion cards for new features. Others can then vote and comment on the cards. In October 2024, Telegram launched a verification platform, called Telegram Gateway, allowing third-party services to authenticate their users by sending verification codes via Telegram.

For encrypted chats (branded as Secret Chats), Telegram uses a custom-built symmetric encryption scheme called MTProto. The protocol was developed by Nikolai Durov and other developers at Telegram and, as of version 2.0, is based on 256-bit symmetric AES encryption, 2048-bit RSA encryption and Diffie–Hellman key exchange. MTProto 1.0 was deprecated in favor of MTProto 2.0 in December 2017, which was deployed in Telegram clients as of v4.6. Version 2.0 was proven formally correct in December 2020 by a team from the University of Udine, Italy. The team reviewed the protocol after realizing that they could only find in-depth verifications done of version 1.0, where most criticisms were levied. They used ProVerif, a verifier based on the symbolic Dolev-Yao model. In the published paper, they "provide a fully automated proof of the soundness of MTProto 2.0’s protocols for authentication, normal chat, end-to-end encrypted chat, and re-keying mechanisms with respect to several security properties, including authentication, integrity, confidentiality and perfect forward secrecy...MTProto 2.0 is assumed to be a perfect authenticated encryption scheme (IND-CCA and INT-CTXT)." However, the team also stated that because all communication, including plaintext and ciphertext, passes through Telegram servers, and because the server is responsible for choosing Diffie–Hellman parameters, the "server should not be considered as trusted." They also concluded that a man-in-the-middle attack is possible if users fail to check the fingerprints of their shared keys. Finally, they qualified their conclusion with the caveat that "properties need to be formally proved in order to deem MTProto 2.0 definitely secure. This proof cannot be done in a symbolic model like ProVerif's, but it can be achieved in a computational model, using tools like CryptoVerif or EasyCrypt." In 2017, in an attempt to monetize Telegram without advertising, the company began the development of a blockchain platform dubbed either "The Open Network" or "Telegram Open Network" (TON) and its native cryptocurrency "Gram". The project was announced in mid-December 2017 and its 132-page technical paper became available in January 2018. The codebase behind TON was developed by Pavel Durov's brother Nikolai Durov, the core developer of Telegram's MTProto protocol. In January 2018, a 23-page white paper and a detailed 132-page technical paper for TON blockchain became available. Durov planned to power TON with the existing Telegram user base, and turn it into the largest blockchain and a platform for apps and services akin to a decentralized WeChat, Google Play, and App Store. Besides, the TON had the potential to become a decentralized alternative to Visa and MasterCard due to its ability to scale and support millions of transactions per second. In January and February 2018, the company ran a private sale of futures contracts for Grams, raising around $1.7 billion. No public offering took place. The development of TON took place in a completely isolated manner, and the release was postponed several times. The test network was launched in January 2019. The launch of the TON main network was scheduled for 31 October. On 30 October, the U.S. Securities and Exchange Commission obtained a temporary restrictive order to prevent the distribution of Grams to initial purchasers; the regulator considered the legal scheme employed by Telegram as an unregistered securities offering with initial buyers acting as underwriters. The judge hearing the Telegram v. SEC case, P. Kevin Castel, ultimately agreed with the SEC's argument and kept the restrictions on Gram distribution in force. The ban applied to non-U.S.-based purchasers as well, because Telegram could not prevent the re-sale of Grams to U.S. citizens on a secondary market, as the anonymity of users was one of the key features of TON. Following that, Durov announced the end of Telegram's active involvement with TON. On 26 June, the judge approved the settlement between Telegram and SEC. The company agreed to pay an $18.5 million penalty and return $1.22 billion to Gram purchasers. In March 2021, Telegram launched a bonds offering to cover the debt and fund further growth of the app.

In 2016, cryptography experts criticized how, unless modified, Telegram's default general security model stores all contacts, messages and media together with their decryption keys on its servers continuously and does not enable end-to-end encryption for messages. Durov has argued that this is because it helps to avoid third-party unsecured backups, and to allow users to access messages and files from any device. Criticisms were also aimed at Telegram's use of a custom-designed encryption protocol. In December 2020, a study titled "Automated Symbolic Verification of Telegram's MTProto 2.0" was published, confirming the security of the updated MTProto 2.0 and reviewing it while pointing out several theoretical vulnerabilities. The paper provides "fully automated proof of the soundness of MTProto 2.0's authentication, normal chat, end-to-end encrypted chat, and re-keying mechanisms with respect to several security properties, including authentication, integrity, confidentiality and perfect forward secrecy" and "proves the formal correctness of MTProto 2.0". This partially addresses the concern about the lack of scrutiny while confirming the formal security of the protocol's latest version. As of 2014, the desktop clients, excluding the macOS client, do not feature options for end-to-end encrypted messages. When the user assigns a local password in the desktop application, data is also locally encrypted. Telegram has defended the lack of ubiquitous end-to-end encryption by saying that online-backups that do not use client-side encryption are "the most secure solution currently possible". Security researcher Moxie Marlinspike, founder of the competing Signal messenger, and commenters on Hacker News criticized a 2013 contest to break its cryptography for being rigged or framed in Telegram's favor and said that Telegram's statements on the value of these contests as proof of the cryptography's quality are misleading.

This was because the cryptography contest could not be won even with completely broken algorithms such as MD2 (hash function) used as key stream extractor, and primitives such as the Dual EC DRBG that is known to be backdoored. Telegram has been blocked temporarily or permanently by some governments including Iran, China, Brazil, and Pakistan. The Russian government blocked Telegram for several years before lifting the ban in 2020. The company's founder has said he wants the app to have an anti-censorship tool for Iran and China similar to the app's role in fighting censorship in Russia. On 19 April 2024, Apple removed Telegram from the App Store in China. In September 2024, Ukraine banned the usage of Telegram by government officials, military personnel, and key workers on official devices, citing fears of Russian espionage.

The National Security and Defense Council of Ukraine enforced the restrictions following evidence reported to them by Kyrylo Budanov, showing Russia's ability to access messages and user data on the platform. Andriy Kovalenko, head of the security council's centre on countering disinformation, clarified that the ban was limited to official devices and did not extend to personal phones. In February 2026, Russia restricted Telegram, as officials said the platform failed to protect personal data and curb criminal content. Durov responded that Telegram remained committed to protecting freedom of speech and user privacy, and accused Russian authorities of directing users toward a state-backed platform, presumably Max. Over the summer of 2026, the share of active Russian-language channels posting links to Max doubled, reaching about one in fifty by August.

Telegram was the main subject surrounding the 2019 Puerto Rico riots that ended up in the resignation of then-Governor Ricardo Rosselló. Hundreds of pages of a group chat between Rosselló and members of his staff were leaked. The messages were considered vulgar, racist, and homophobic, with members of the chat discussing how they would use the media to target potential political opponents.

On 24 August 2024, Pavel Durov, who is both a French and UAE citizen, was arrested in France by French authorities. On 28 August he was charged with a wide array of crimes, including complicity in managing an online platform to enable illegal transactions; complicity in crimes such as enabling the distribution of child sexual abuse material; drug trafficking and fraud; and refusal to cooperate with law enforcement authorities. Durov posted bail of five million Euros, was barred from leaving France, and was released on condition he report to a French police station twice weekly. The case would be handled by a special magistrate with investigative and prosecutorial powers.

2. System Architecture & Core Working Principles In June 2026, the Government of India temporarily blocked access to Telegram ahead of a re-conducted National Eligibility-cum-Entrance Test (NEET) examination, citing concerns that the platform had been used to distribute leaked examination papers. Telegram challenged the restriction before the Delhi High Court, arguing that the ban would affect millions of legitimate users while doing little to prevent examination fraud. Telegram CEO Pavel Durov criticized the decision, saying that the company had removed hundreds of channels associated with leaked examination materials and scams in India. At the time of the restriction, Telegram reported having more than 150 million active users in India. In October 2026, 404 Media reported that a letter included in US federal court records showed Telegram had provided US authorities with a user's account ID, phone number and IP address, along with the time of the account's last login. The letter, dated 4 September 2026, described the disclosure as voluntary and stated that Telegram was not conceding that it was subject to US jurisdiction or that the request had been properly served. The filing containing the letter was submitted to the court on 15 October 2026.

In the digital age, data security is of utmost importance. Encryption is a fundamental technique used to protect sensitive information from unauthorized access. One of the most widely used encryption algorithms is the Advanced Encryption Standard (AES). Python, with its rich libraries and simplicity, provides an excellent platform for implementing AES encryption. This blog post will dive deep into the concepts, usage, common practices, and best practices of AES encryption in Python.

AES is a symmetric block cipher that was selected as a replacement for the Data Encryption Standard (DES). It can operate on data blocks of 128 bits and supports key sizes of 128, 192, or 256 bits. The symmetric nature of AES means that the same key is used for both encryption and decryption. This simplicity makes it efficient for a wide range of applications, from securing network traffic to protecting sensitive data at rest.

AES can be used in different modes of operation, each with its own characteristics: - Electronic Codebook (ECB) : The simplest mode. It divides the plaintext into blocks and encrypts each block independently using the same key. However, it is not recommended for most applications as it can reveal patterns in the plaintext if the same block is encrypted multiple times. - Cipher Block Chaining (CBC) : In CBC mode, each block of plaintext is XORed with the previous ciphertext block before encryption. This mode requires an Initialization Vector (IV) to start the process. CBC is more secure than ECB as it hides patterns in the plaintext. - Cipher Feedback (CFB) : CFB mode allows the AES algorithm to operate in a streaming mode. It can encrypt data one byte at a time, making it suitable for applications where the data size is not a multiple of the block size. - Output Feedback (OFB) : Similar to CFB, OFB is also a streaming mode. It generates a keystream that is XORed with the plaintext. Each keystream block depends on the previous one, so the same key-IV pair must never be reusedâIIdoing so reuses the keystream and completely breaks security. - Galois/Counter Mode (GCM) : An authenticated encryption mode that combines CTR mode with Galois field multiplication for integrity verification. GCM provides both confidentiality and authenticity (AEAD) in a single operation, is efficient, and supports parallel processing. It is the most widely recommended mode for modern applications and is standardized by NIST (SP 800-38D). - Counter (CTR) : CTR mode uses a counter value that is encrypted to generate a keystream. The counter is incremented for each block, and the resulting keystream is XORed with the plaintext. CTR is efficient and can be parallelized.

Both libraries are actively maintained and suitable for production use. For new projects that need authenticated encryption (AEAD), the cryptography library is often recommended for its simpler API and broad adoption. In this example: - The encrypt function first generates a random IV. It then creates an AES cipher object in CBC mode with the provided key and IV. The plaintext is padded to a multiple of the block size before encryption. The IV is prepended to the ciphertext for decryption. - The decrypt function extracts the IV from the ciphertext. It creates an AES cipher object with the key and IV and decrypts the ciphertext. The decrypted text is then unpadded to get the original plaintext.

AES-GCM is the recommended mode for most modern applications because it provides authenticated encryption âII it simultaneously encrypts data and verifies its integrity, preventing tampering without requiring a separate MAC. Key differences from CBC mode: - No padding required âII GCM is a streaming mode and does not need block alignment. - Authenticated âII Any modification to the ciphertext or associated data causes decryption to raise an InvalidTag exception. - 96-bit nonce âII NIST recommends 12 bytes for optimal performance. Never reuse a nonce with the same key. - Associated data âII You can bind additional context (e.g., a user ID or session token) that is authenticated but not encrypted.

In many applications, users provide a password rather than a randomly generated key. You should never use a password directly as an AES key . Instead, use a key derivation function (KDF) to securely derive a cryptographic key from a password. PBKDF2 is a widely supported KDF that applies a pseudorandom function to the password along with a salt and a high iteration count to slow down brute-force attacks: The salt must be stored alongside the ciphertext so the same key can be derived during decryption. For even stronger protection against hardware-accelerated attacks, consider Argon2 (available via the argon2-cffi package), which is the winner of the Password Hashing Competition and provides memory-hard key derivation.

For new applications, use an authenticated encryption mode such as AES-GCM instead of CBC. Authenticated encryption provides both confidentiality and integrity in a single operation, eliminating entire classes of attacks (e.g., padding oracle attacks against CBC). If your use case requires deterministic encryption or nonce-misuse resistance, consider AES-GCM-SIV or AES-SIV.

AES encryption in Python provides a powerful and flexible way to protect sensitive data. By understanding the fundamental concepts, choosing the right mode of operation, and following best practices, you can build secure applications. For new projects, prefer authenticated encryption modes like AES-GCM, which provide both confidentiality and integrity in a single operation. Use established libraries such as pycryptodome or cryptography , derive keys securely from passwords using PBKDF2 or Argon2, and never reuse nonces with the same key. Whether you are securing API communications, encrypting database records, or protecting files at rest, AES encryption is a foundational tool in your security arsenal.

In this tutorial, we’re going to be building our own custom password manager. I’m pretty sure you know what a password manager is, and its importance. But for formalities, a password manager is an application that securely stores organizes, and manages a user's passwords for various online accounts and services. It is used to simplify the process of creating and remembering complex and unique passwords for enhanced online security.

Basically, it saves us the hassle of remembering passwords for different accounts and complex passwords. This is because security-wise, we’re expected to use different passwords for different accounts so that if an account is compromised, using the same credentials wouldn’t grant hackers access to another account owned by the same victim. We are also expected to use strong, unguessable passwords. We talked about this in a previous tutorial .

The basic functionalities of our password manager include: logging in (only we should have access to our password manager using our username and master password), adding passwords, retrieving passwords (obviously), viewing saved websites (to be sure which websites we have saved) and copying the retrieved password to our clipboard as it saves us the time of having to type it. I don’t know about you, but I can be very lazy.

We are going to be storing the saved passwords in a JSON file. But it will be encrypted so that even if someone manages to get access to the file, it would be useless to them. We’ll also store our login credentials (username and master password) in a JSON file. Similarly, it would be hashed so it’s useless to unauthorized parties. So do me a favor. Create a folder, and create a Python file in it. password_manager.py or whatever you like. During the course of running this program, we are going to create two JSON files. One is passwords.json and the other, user_data.json .

The passwords.json file is where we’ll store our saved passwords, and the user_data.json is where we will store login credentials. Please bear in mind that you do not have to create these files beforehand as we do that automatically in the program. We’re using Python 3. Any version above 3.6 is fine as we’re going to make use of F strings. Also, to copy our retrieved password to our clipboard, we’ll make use of the pyperclip module. To install, open up your command prompt (or terminal) and run: Now, the fun can begin. Open up your Python file and let’s import the necessary libraries: json is a library for encoding and decoding JSON (JavaScript Object Notation) data, commonly used for data serialization and interchange.

hashlib is a library that provides secure hash functions, including SHA-256, for creating hash values from data, often used for password hashing and data integrity verification. You can check this tutorial on how to use it. 3. Software Implementation, Frameworks & Protocols getpass : A library for safely and interactively entering sensitive information like passwords without displaying the input on the screen. Similar to the way the Linux terminals are.

os : A library for interacting with the operating system, allowing you to perform tasks like file and directory manipulation. pyperclip : A library for clipboard operations, enabling you to programmatically copy and paste text to and from the clipboard in a platform-independent way. sys : This module is a built-in Python module that provides access to various system-specific parameters and functions.

cryptography.fernet : Part of the cryptography library, it provides the Fernet symmetric-key encryption method for securely encrypting and decrypting data. You can check this tutorial for more info. After importing the necessary libraries, we create a function for hashing . This function would be used to hash our master password upon registration: After that, we create a function for generating a key. This key would be used to encrypt our passwords upon adding, and decrypt upon retrieval. Please bear in mind that only the key we used to encrypt our passwords, can be used to decrypt it. If you use another, you’ll get errors. I’m saying this because this is a function and anytime it gets executed (you call it), it generates a new key. This is worth noting in case you want to use the function in another program. In this program, we generate it once, store it, and keep using it, so you have nothing to worry about.

Next up, we fernet the key (making it able to encrypt and decrypt our passwords) and create functions for encrypting and decrypting: After that, we create a function for owner registration. Saving credentials in the user_data.json file. Remember, we’ll be hashing the password. This is the master password. The keys to the kingdom: Next up, we create a function for logging a user in. It accepts a username and password from a user, it then hashes the password entered by the user. If the hash of the entered password is the same as the hash of the saved password (in the JSON file) and the usernames are also the same, it grants access. Otherwise, you know the rest. This is how password-cracking processes take place.

In secure systems, passwords are stored as hashes and not plain texts. So attackers keep trying the hashes of different known passwords in the hope of gaining access to the system. This is why we are advised to use strong, unique passwords: Next is a function to view websites saved in our password manager. Remember that the order in which functions are written doesn’t really matter. It’s the calling that matters: Next up, we generate or load our key. If it’s the first time, we generate and save our key. Otherwise, we just load it: Basically, this function checks if an encryption_key.key file exists. If it does, it loads it for use. If it doesn’t, it creates it and saves our unique key in it. If it exists, it means it isn’t our first time running the program so it just loads our unique key. This key is the heart of this program. You want to make sure you keep it safe.

This function takes in the website as a parameter and returns the decrypted password to the user (us). Finally the body of the program. Option displays and function calling according to the user’s input: When you run the program (after fulfilling all the requirements earlier stated), the first thing you want to do is register . Afterwards, you can log in and play with all the features. Don’t forget that when you retrieve a password, it copies to the clipboard. Feel free to test that by pasting it to see for yourself.

Please bear in mind that full-scale password managers are often more complex than this. The essence of this tutorial is to try to show you the methodology involved in this process. I hope I was able to do that. In this tutorial, we've walked you through creating your own custom password manager using Python. We've covered the essentials from securing your login credentials with hashing to saving and retrieving encrypted passwords from a JSON file.

By leveraging Python libraries like json , hashlib , getpass , and cryptography , we built a functional, secure password manager. Now, you don't have to remember complex passwords; let Python do the work for you! Finally, if you're more interested in cryptography, then I highly recommend you check our Cryptography with Python eBook ! It'll equip you with the foundations and practical skills in the world of Cryptography; check it out here .

Take the stress out of learning Python. Meet our Python Code Assistant – your new coding buddy. Give it a whirl! Master the art of ethical hacking with this hands-on tutorial on creating a Python-based login password guesser using brute-force techniques. Designed for educational purposes, this guide will level up your cybersecurity expertise. Learn how to build a phone number tracker in Python using phonenumbers, OpenCage and folium libraries.

4. Practical Deployment, Analysis & Case Studies Learn how to crack hashes using Python's hashlib library and a brute-force approach with a wordlist. Gain insights into various hashing algorithms and understand the importance of secure data handling. Got a coding query or need some guidance before you comment? Check out this Python Code Assistant for expert advice and handy tips. It's like having a coding tutor right in your fingertips! These are the highest-signal ideas to keep in mind while you read the detailed guidance below.

Master password never stored — only its hash (Argon2). All passwords encrypted with AES-256-GCM. Encryption key derived from master password using PBKDF2 with 100,000 iterations. Use AES-GCM mode for authenticated encryption — it provides both confidentiality and integrity. Each encrypted entry has a unique random IV (nonce) to prevent pattern analysis.

Hash master password with Argon2id (memory-hard algorithm). This resists GPU brute-force attacks even if the database is stolen. Store: site , username , encrypted_password , iv , created_at . Never store plaintext passwords or the master key. Check passwords against HaveIBeenPwned API using k-anonymity (only first 5 chars of SHA1 hash sent). Alert user if their password appears in breach databases.

Flask web app with login, list view, add/edit/delete entries, copy-to-clipboard with 30-second auto-clear, and password generator. Standard Execution Framework for Building a Password Manager with AES Encryption in Python This extended section turns the article into a stronger working reference. Use it to convert the ideas above into a cleaner build plan, stronger documentation flow, and a more defendable academic submission.

Think about this framework in three layers: clarity for understanding the problem, discipline for building or writing with fewer errors, and evidence for proving quality during review, demo, or viva. If you apply even two or three of these standards consistently, the overall quality of your cryptography work will improve visibly.

Use this checklist as a last-pass review before you freeze the report, PPT, or demo environment. These are the issues that most often make otherwise good student work feel incomplete, rushed, or difficult to defend. Clear scope, stable architecture, input validation, error handling, test coverage, setup documentation, and a predictable demo flow. Enterprise quality is less about expensive tooling and more about disciplined execution and repeatable results.

Detailed enough that a reviewer can understand the system structure, major data flows, important algorithms, and setup decisions without reading the entire repository. Focus on decisions, flow, and evidence rather than dumping long code blocks. Aim for both, but start with clarity and completion. A clean, defendable architecture with modest scope almost always performs better than an ambitious design that remains unstable or incomplete.

Follow these steps to turn the article into a submission-ready plan instead of passive reading. Write the exact user problem, included modules, excluded scope, and success metric before implementation begins. Decide the frontend, backend, data layer, integrations, and communication pattern with clear justification. Implement the smallest end-to-end path that proves the project works before adding optional features.

Cover major user journeys, negative cases, and data validation so your demo remains stable. 5. Performance Evaluation & Extended Technical Observations Prepare README, screenshots, flow diagrams, setup instructions, and presentation notes alongside the code. Introduction to ethical hacking concepts, tools, and methodology that CSE students need for cybersecurity projects and careers.… Build an ML-based Network Intrusion Detection System (NIDS) that identifies cyber attacks with 99.2% accuracy using the NSL-KDD dataset.… Understand XSS attacks, their types (reflected, stored, DOM-based), and implement comprehensive prevention in your web application.… Use our project library, docs support, and viva tools to turn ideas into submission-ready work.

A simple and secure Password Manager built using Python. It provides a graphical interface to securely store, manage, generate, and retrieve passwords. Passwords are encrypted before being stored in the SQLite database. The project uses AES-256-GCM encryption and PBKDF2-HMAC-SHA256 for secure key generation.

The application also provides a secure password generator and checks password strength. The project includes a password breach checking feature. The current implementation uses a built-in list and simulated breach checking for demonstration purposes. A secure Python-based Password Manager with a Tkinter GUI, SQLite database, AES-256-GCM encryption, master password protection, secure password generation, strength analysis, breach monitoring, auto-lock sessions, and encrypted password storage.

This Python script provides a basic password manager functionality with encryption and secure storage using the AES encryption algorithm. The project utilizes the Crypto library for cryptographic operations and interacts with a MySQL database to store ,update and delete encrypted passwords and related information. Open the Jupyter Notebook (Password-Manager-Project.ipynb) and update the database connection details (host, user, password) in the mysql.connector.connect calls within the functions ( fetch_key , save_to_database , get_password_from_database , update_password , delete_password ).

generate_password(): Generates a random password with a mix of lowercase letters, uppercase letters, digits, and special characters. The password length is randomly chosen between 8 and 14 characters. save_to_database(website, username, password): Encrypts the password and stores it in the MySQL database along with the website and username. If the user's key is not already stored in the database, it generates a new key.

get_password_from_database(website, username): Retrieves and decrypts the password from the database based on the specified website and username. update_password(website, username, new_password): Updates the password for a specific website and username in the database.

delete_password(website, username): Deletes the password entry for a specific website and username from the database. user_interface(): Provides a simple command-line interface for the user to interact with the password manager. Allows the user to perform actions such as saving, generating, displaying, updating, and deleting passwords. Note: Ensure that you have secured your MySQL database appropriately, including proper authentication and access controls.

This password manager is intended for educational purposes and may not provide the same level of security as professionally developed and audited password managers. Use it at your own risk. Secure Python-based password manager using AES encryption. Features include password generation, storage, update, delete and retrieval from a MySQL database. Easy-to-use command-line interface.

A secure, command-line password manager written in Python. It features state-of-the-art cryptography (Argon2id, AES-256-GCM) to ensure your credentials remain safe even if the database file is compromised. Local password manager in Python/C++ that stores credentials in SQLite encrypted with AES-256 (GCM) and a key derived from a master password (Argon2/PBKDF2). Includes secure login, CRUD, search, and a password generator.

Harvested Online Documentation & Reference Sources • https://en.wikipedia.org/wiki/ZIP%20%28file%20format%29 • https://en.wikipedia.org/wiki/Telegram%20%28software%29 • https://coderivers.org/blog/aes-encryption-python/ • https://thepythoncode.com/article/build-a-password-manager-in-python • https://cseprojects360.com/blog/building-a-password-manager-with-aes-encryption-in-python • https://github.com/bhavyweb3/Secure-Password-Manager • https://github.com/simran08udhani/Password-Manager-Project • https://github.com/Kermitt001/Password-Encryption-AES-256