Threats tagged 'analysis'

Sharing a project I’ve been building called **T3E** . It converts *any file* into a `.wav` audio file using: * Deterministic frequency encoding * Signal obfuscation * Key-based frequency shifting **T3E was built to challenge traditional encryption assumptions** — especially in response to: * Quantum computing * AI-based reverse engineering * Memory forensics & low-level analysis I have a `.wav` file that contains a fully encrypted Excel spreadsheet. It plays as normal audio — but is **reversible only** with the correct key and decoder. # Key Properties: * No ciphertext or headers (not AES, not base64) * Audio plays clean, but stores real data * AI/quantum-resistant — no repeating patterns * Even with the same key, each encryption produces a unique `.wav` * Decryption requires the **exact** `.wav` **file** \+ key * Optional memory-free decryption (executes in RAM only) Not selling anything — just posting to gather early feedback from serious folks in netsec, RE, and crypto. Appreciate any critiques on: * Security model * Weaknesses or edge cases * Post-quantum viability Try breaking it — I’d love to see how it holds up.

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AntiDot Android Malware Analysis Source: https://catalyst.prodaft.com/public/report/antidot/overview#heading-1000

Malware#netsec#redditGermany+9

# **\[Disclosure: I work at CyberArk and was involved in this research\]** We've completed a security evaluation of the Model Context Protocol and discovered several concerning attack patterns relevant to ML practitioners integrating external tools with LLMs. **Background:** MCP standardizes how AI applications access external resources - essentially creating a plugin ecosystem for LLMs. While this enables powerful agentic behaviors, it introduces novel security considerations. **Technical

Hi all, I discovered suspicious behavior and possible malware in a file related to the official MicroDicom Viewer installer. I’ve documented everything including hashes, scan results, and my analysis in this public GitHub repository: [https://github.com/darnas11/MicroDicom-Incident-Report](https://github.com/darnas11/MicroDicom-Incident-Report) Feedback and insights are very welcome!

Malware#netsec#redditGermany+9

Analysis of Spyware That Helped to Compromise a Syrian Army from Within

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New Malware Spotted Corrupts Its Own Headers to Block Analysis

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