Results for “intentsanitizer”

11 skills
More results
trailofbits
Atheris
Fuzz Python code and C extensions with coverage guidance and AddressSanitizer support using a libFuzzer-based fuzzer.
6k · bundle
mukul975
Testing Android Intents For Vulnerabilities
Tests Android inter-process communication (IPC) through intents for vulnerabilities including intent injection, unauthorized component access, broadcast sniffing, pending intent hijacking, and content provider data leakage.
24.6k · bundle
comeonoliver
Atheris
Guides setting up and using Atheris for coverage-guided fuzzing of Python code and C extensions, including Docker setup, harness writing, and corpus management.
61
trailofbits
Cargo Fuzz
Fuzz Rust projects with libFuzzer using cargo-fuzz, including harness writing, sanitizer integration, and coverage analysis.
6k · bundle
trailofbits
Address Sanitizer
Detect memory errors like buffer overflows and use-after-free bugs in C/C++ code during fuzzing and testing using AddressSanitizer.
6k · bundle
mukul975
Hunting For Persistence Via Wmi Subscriptions
Hunt for adversary persistence through Windows Management Instrumentation event subscriptions by monitoring WMI consumer, filter, and binding creation events that execute malicious code triggered by system events.
24.6k · bundle
zhaoxuya520
Competition Prompt Injection
Analyzes prompt injection, retrieval poisoning, memory contamination, planner drift, and tool-boundary abuse in agentic systems, mapping trust boundaries and proving exploit chains.
12.8k · bundle
mukul975
Building Ioc Enrichment Pipeline With Opencti
Build an automated IOC enrichment pipeline using OpenCTI's connector ecosystem to enrich indicators with context from VirusTotal, Shodan, AbuseIPDB, GreyNoise, and other sources.
24.6k · bundle
mukul975
Auditing Entra Id With Aadinternals
Run Microsoft Entra ID tenant reconnaissance, token acquisition and manipulation, and federation backdoor testing with the AADInternals PowerShell toolkit to validate identity-attack resilience.
24.6k · bundle
kensaurus
Plan Antislop
Audit a codebase, UI, or copy for machine-generated tells across prose, visual/UI, code, and structure/IA, then produce a phased de-slop burndown. Use when the user says "feels AI-generated", "looks like AI slop", "reads like ChatGPT", "feels generic/soulless", or wants an authenticity/voice pass before launch.
8