Results for “afl-cmin”

Build custom fuzzers with a modular Rust library, supporting advanced mutation strategies, custom feedback mechanisms, and non-standard target architectures.

Build and run custom fuzzers with LibAFL, a modular Rust fuzzing library, including drop-in libFuzzer replacement and custom component configuration.

AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.

LibAFL is a modular fuzzing library for building custom fuzzers. Use for advanced fuzzing needs, custom mutators, or non-standard fuzzing targets.

Action (afaz-action)

Use when masking columns or coordinate ranges in multiple-sequence alignments before downstream HMMER or alignment-processing steps.

Use this skill when the user asks about FCRA adverse action procedures — what to do when a background check (MVR, criminal, drug test) returns information that may lead to denying employment or terminating a CDL driver. Covers the 5-business-day pre-adverse-action notice, FCRA Summary of Rights, final adverse action notice, state-specific add-ons (CA, NY, etc.), and how to handle disputes. Cite 15 USC § 1681 (FCRA) and 49 CFR 391.

Use this skill when the user asks about CDL driver medical certification — 49 CFR 391.41-49 medical qualifications, medical examiner's certificate (Long Form 5876 + Short Form 5875), National Registry of Certified Medical Examiners (NRCME), medical restrictions, federal disqualifying conditions, exemption programs (vision, diabetes, hearing), the FMCSA Medical Examiner's Handbook, or what to do when a driver's medical cert is downgraded. Cite specific 49 CFR 391 sections.

Optional low-priority poller that inventories Worklink tool pins from <home>/worklink.yaml and files/reuses Chainlink bump issues when upstream versions drift. Opt-in: copy this directory into <home>/skills/worklink-tool-pins/ and configure tool_pins in worklink.yaml.

Comprehensive guide to fcn. Master the concepts, implementation, best practices, and real-world applications of fcn in professional environments.

Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy, Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens.

Conduct authorized red team initial access using EvilGinx3 adversary-in-the-middle phishing to capture session tokens and bypass multi-factor authentication.

Memory (acaf-memory)

DreamLIP: Language-Image Pre-training with Long Captions

Delivers a daily DeFi regime verdict (RISK-ON/NEUTRAL/RISK-OFF) from five named inputs, top TVL movers with causal reasoning, and a sustainable-vs-incentive yield split to distinguish real product-market fit from emissions-pumped APY.

Build LinkedIn Ads campaigns with ABM targeting, professional ad copy, and format recommendations

Use when annotating VCF files with flanking sequence information (INFO/FS tag) or masking regions/variants in flanking sequences.

Multimodal Neurons in Artificial Neural Networks