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Showing posts from August, 2025

๐—ฆ๐˜๐—ผ๐—ฝ ๐—ฏ๐—น๐—ฎ๐—บ๐—ถ๐—ป๐—ด ๐—”๐—œ. ๐—™๐—ถ๐˜… ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜.

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Prompting      Prompting is just asking AI to do stuff but there is a massive difference between a vague request and a well-structured prompt.      A prompt is a call to action . If the pattern is vague , the AI has to guess what you mean. But the more focused and specific your prompt is, the better the results become. You are not exactly “ hacking probabilities ,” but you are giving the model better instructions to generate the output you actually want. 1. personas      Give the AI a role, personality, or level of expertise to influence how it responds and generates the result. Instead of just saying: “Explain Linux.” Try: “You are an experienced Linux instructor teaching beginners.”      Now the AI has a better idea of how to think about the response, who it is speaking to, and what kind of answer you expect. 2. context      LLMs can hallucinate. They are prediction machines that generate the most like...

File Doppelgรคngers: The World of Polyglot Files

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Unlocking the Secrets of Polyglot Files: When One File Speaks Many Languages Introduction In the world of cybersecurity, appearances can be deceiving. A file might look like an innocent image, but behind the scenes, it could also be a ZIP archive, a PDF, or even an executable. Such files are called polyglots — single files that are valid under multiple file formats at the same time. Polyglots are fascinating from a technical standpoint, but they also pose serious security risks. Attackers often use them to bypass filters, sneak past antivirus solutions, or trick unsuspecting users into executing malicious code. What Are Polyglot Files? A polyglot file is crafted in such a way that it conforms to the specifications of two (or more) different file types simultaneously. Example: A file that is both a JPEG image and a ZIP archive . When opened in an image viewer → You see a normal picture. When extracted with a ZIP tool → You find hidden file...

Sometime slash might be Unicode Hiragana

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Cybercriminals Exploit Unicode Trick to Mimic Booking.com in Phishing Scam Threat actors have launched a new phishing campaign targeting Booking.com users , leveraging Unicode characters to disguise malicious links as legitimate ones. This attack shows how easily scammers can trick people with subtle visual deceptions. How the Attack Works The campaign uses the Japanese hiragana character “ใ‚“” (Unicode U+3093) inside phishing URLs. On some systems and fonts, this symbol looks like a forward slash (/) or part of a subdirectory, making the fake URL appear genuine. For example, a phishing email may display the link (appears safe but is deceptive): https://admin.booking.com/hotel/hoteladmin/... But the actual malicious hyperlink is different (neutralized below for safety): https://account.booking.comใ‚“detailใ‚“restric-access.www-account-booking[.]com/en/ At first glance, it looks like a real Booking.com page. In reality, the true registered domain is “www-account-booking[.]co...

Identicon

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The Mystery of Identicons: Turning Data into Unique Visual Avatars Introduction If you’ve ever signed up for a new website and seen a colorful, pixelated avatar appear next to your name — without uploading a profile picture — you’ve probably met an Identicon . Identicons are unique, algorithmically generated images based on a piece of text, usually a username, email, or IP address. They are used for visual identification and uniqueness without revealing personal information. Where Do We See Identicons? GitHub: User avatars when no profile picture is uploaded. WordPress: Default avatars for comments. StackOverflow: Generated icons for users without a custom profile picture. How Do Identicons Work? Hashing the Input – The text (e.g., "kiyotaka ayanokลji") is passed through a hash function like SHA1 or MD5, producing a fixed-length hexadecimal value. Mapping Bits to a Grid – The hash is split into smaller parts, each controlling ...

Retrieval Augmented Generation

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Mastering RAG: The Future of Fact-Aware AI  “An AI that thinks like L, but researches like Sherlock.” – That’s the power of RAG. What is RAG? RAG stands for Retrieval-Augmented Generation — an advanced AI technique that combines a retriever (like a search engine) with a generator (like GPT). Traditional AI only replies based on training. RAG goes further — it retrieves live facts from external documents before generating an answer. Why RAG Was Introduced Most LLMs are like students who read thousands of books last year — but can’t learn new things today. RAG fixes this by: Reducing hallucinations (wrong facts) Adding real-time knowledge to AI responses Combining search + generation into one smart process What RAG Replaces Before RAG, you needed to: Manually feed facts into prompts Use Google + ChatGPT separately Retrain your models constantly RAG solves this with one pipeline that searches, reads, and generates together. RA...