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Fuzzing Made Easy #5: How to decide what to fuzz in a complex target
On a complex target the hardest fuzzing question comes before the first harness: what is actually worth fuzzing? We threat-model the attack surface, follow untrusted data to where it gets dangerous, and turn that into a ranked, shaped set of harnesses, wo
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Fuzzing Made Easy #8: How to perform coverage analysis
Coverage analysis is an essential step for a successful fuzzing campaign, to identify uncovered code regions and change the campaign to reach them.
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Beyond Fable: Can a Local LLM Replace Cloud AI for Security Code Reviews
A comparative study of Claude Fable 5, Claude Opus 4.6/4.8, GLM-5, Gemma4-26b, and Qwen3.6-35B-A3B on two production codebases.
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Kids360: Getting adopted globally
Exploiting a parental control app leads to surveilling families around the globe.
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OpenVPN 2.7 security audit: 18 findings, one critical bug, and what made the difference
We report results from a 16-week security audit of the OpenVPN 2.7 release canidate, sponsored by the Sovereign Tech Agency in cooperation with the Open Technology Fund. We found 18 issues, including one critical logic bug in a replay check, and we descri
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Fuzzing CosmWasm Smart Contracts
We introduce CosmFuzz, a coverage-guided fuzzer for CosmWasm smart contracts, and show how invariant-based testing quickly exposes a real token-accounting bug in cw20-base.
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We don't need to hack your AI Agent to hack your AI Agent
We strolled through an enterprise AI assistant's backend, helped ourselves to full application takeover and access to every chat log, and had a Microsoft Entra ID dump for dessert - no prompt injection, no model tricks, no AI expertise required.
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AI-generated code, AI-generated findings, and the verification bottleneck
We analyze how LLM-assisted coding and LLM-generated vulnerability reports shift the bottleneck from discovery to verification, and why security outcomes depend on reachability, context, and impact rather than vulnerability counts.
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Breaking ILIAS #2: Three to RCE
We describe three previously unknown vulnerabilities enabling remote code execution (RCE) in versions 8, 9, and 10 of the widely used learning management system ILIAS.
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Competing at the DEF CON CTF Finals 2025
Nils competed in the DEF CON 33 CTF finals, placing 8th while running attack-defense operations, participating in the LiveCTF, and publishing a write-up on exploiting a Jukebooox bug leading to a glibc leak and ROP chain.
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Tech stack
The technologies known for SRLabs, by layer.
Languages
C++
Cloud & platforms
GitHub
AI & ML
LLM
Practices & domains
AI Agents
Function Calling
Smart Contracts
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Growth
Hiring Momentum
53/100
Stable
Open positions
2
0 opened / 0 closed in 30 days
Median time-to-fill
77 days
faster than 17% of the market
ATS activity
Every ~2 days
10/19/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
HR
100% ▲
Activity Timeline
Added LinkedIn to stack
Sep 2026
Added GitHub to stack
Aug 2026
Added Function Calling to stack
Aug 2026
Added AI Agents to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Berlin
Berlin
Germany
2 open roles 2 posted in 90 days 50% engineering 50-200 est. staff
hires for Security, HR
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