🤝
Make a deal with Advanced Fuzzing League
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
724
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for Advanced Fuzzing League
📊 Post engagement
6
Avg engagement / post
0.8%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: Blog post on understanding and mastering coverage analysis is ou · 14 likes + reposts
📊 Activity & format
Posting cadence
0.21 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
72×
Follows 10 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Recent posts
View on Mastodon ↗
The new blog post is online - how to decide what to fuzz in a complex target: https://srlabs.de/blog/decide-what-to-fuzz
enjoy! #fuzzing #afl
AFL++ 5.02c release! important bugfix release for persistent fuzzing mode. New afl-health tool, C11 guidance instrumentation (helps coverage!). https://github.com/AFLplusplus/AFLplusplus/releases/tag/v5.02c #fuzzing #afl
cov-analysis v1.0 - first release! New generic fuzzing coverage gathering + analysis tool. Cool special features: stability analysis, diffing coverage, searching for seeds that reach a line, augment with reachability information and more! …
fuzz-reachability v1.0 - first release! static analysis tool to document reachable functions for a harness in a target - to use with selective instrumentation and coverage analysis. Supported in AFL++ and clang sancov, and cov-analysis. ht…
AFL++ 5.01c release! Bug fixes, faster persistent fuzzing, better MOpt mutator, new qemu binary-only alternative, etc. https://github.com/AFLplusplus/AFLplusplus/releases #afl #fuzzing
AFL++ v5.00c released! Now AGPL 3.0, fast futex persistent mode, new bug-pass instrumentation, LLVM 23 + macOS support, lots of other enhancements and fixes! #fuzzing #afl https://github.com/AFLplusplus/AFLplusplus/releases/tag/v5.00c
AFL++ v4.40c release - best performance ever - optimal hidden coverage instrumentation, FrameShift, LLVM 22 support, IJON fixes, a lot of minor and bigger enhancements! #fuzzer #fuzzing https://github.com/AFLplusplus/AFLplusplus/releases/t…
AFL++ 4.35c release! Complete hidden coverage gathering, GUIFuzz++ support, IJON for qemu, various fixes! https://github.com/AFLplusplus/AFLplusplus/releases/tag/v4.35c #fuzzing #fuzzer
LibAFL 0.15.4 has just been released 🎉
Of the 30 Contributers for this release, almost half are new faces <3
https://github.com/AFLplusplus/LibAFL/releases/tag/0.15.4
#Fuzzing #LibAFL #AFLplusplus
AFL++ v4.34c release - IJON support, UnicornAFL v3, LLVM 22 support, enhanced CMPLOG, bug fixes :-) https://github.com/AFLplusplus/AFLplusplus/releases/tag/v4.34c #afl #fuzzing #fuzzer
AFL++ v4.33c released! Instrumentation of hidden edges (+5% edges), better syncing, corner case features, bug fixes :-) https://github.com/AFLplusplus/AFLplusplus/releases/tag/v4.33c #afl #fuzzer #fuzzing
🐘 Community & instance
Home server
infosec.exchange
A cybersecurity & infosec server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 6 views per post.
📤Posts about 0.2× per week.
🕵️ Fake follower check
Estimated66/100
Good
Credibility score
89%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 89% real, active audience · Low fake-follower risk.
- Engagement (~0.8% of followers engage each post) is around typical for Mastodon.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
We want to make fuzzing better and better
Follow for updates on AFL++ & LibAFL
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Kaffeehaussitzer
18%
Mike Fiedler, Code Gardener
18%
oekologisch_unterwegs
15%
DROP\ TABLE Hacker of Earthsea
14%
Der_Pfleger :bike_verified:
10%
Christoph Roggon
10%
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