AI-DRIVEN REVERSE ENGINEERING

Agent-driven research on protected algorithms

TaskAgent Reverse Lab puts AI agents inside the reverse-engineering workflow, with expert review over direction, evidence, and conclusions. We focus on well-known algorithm protection, signature checks, obfuscated VMs, and protocol security, then publish methods that can be inspected and reused.

Agent Analyst

Agents help organize leads, call graphs, probe drafts, and evidence chains.

Expert Guidance

Human experts calibrate assumptions, validation paths, risk boundaries, and conclusions.

Protection Research

We study signature checks, obfuscated VMs, protocol protection, and common industry defenses.

Engineering Notes

We document reproducible analysis paths, verification methods, failure boundaries, and lessons learned.

WeChat 8.7.0 ClientCheckData White-Box AES: From AES-CBC to 03/08 Table Interpreter Recovery
A self-contained walkthrough of the white-box AES-CBC design in the WeChat 8.7.0 client check data path, covering the VER08 PB table interpreter, 03/08 profile differences, key/IV recovery, Frida Hook reverse validation, and edge-generated challenge vectors.
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WeChat RQTX Part 2: From VM Runtime Trace to Semantic Algorithm Recovery
A technical walkthrough of turning observable WeChat RQTX VM runtime behavior into a semantic hash-like algorithm, including trace aggregation, block naming, standard-algorithm comparison, and verification.
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WeChat RQTX IRVMP Recovery: Architecture, Instructions, and Runtime
A technical recovery note on WeChat 8.7.0 RQTX IRVMP, covering rqtx.dat, VM initialization, instruction encoding, CFG deobfuscation, IDA/Frida analysis, and offline runtime reconstruction.
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TaskAgent Reverse Lab
AI-agent-driven, expert-guided research on protected algorithms.
Research Boundaries
This site records reverse engineering, security validation, and engineering reviews in authorized environments only. It does not publish bypass, abuse, or unauthorized attack material.
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