GitHub
analyzing-taint-flow
Tracks untrusted input propagation from sources to sinks in binary code to identify injection vulnerabilities. Use when analyzing data flow, tracing user input to dangerous functions, or detecting command/SQL i...
waiwai24 AI Skills
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Skills indexés
31Étoiles des dépôts des skills indexés
31Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
assisting-reverse-engineering
Provides reverse engineering analysis support including function identification, data structure analysis, and behavior understanding. Use when analyzing unknown binaries, understanding program structure, or inv...
GitHub
detecting-buffer-overflows
Detects stack and heap buffer overflow vulnerabilities in binary code by identifying unsafe memory operations. Use when analyzing buffer handling, string manipulation functions, or investigating memory corrupti...
GitHub
detecting-incorrect-free
Detects incorrect use of free() including freeing non-heap memory, invalid pointers, and mismatched allocators. Use when analyzing memory deallocation, heap management, or investigating free() usage errors.
GitHub
detecting-type-confusion
Detects type confusion vulnerabilities by identifying unsafe type casts, vtable corruption, and polymorphism issues. Use when analyzing object-oriented code, type casting, or investigating C++ memory safety iss...
GitHub
detecting-arbitrary-write
Detects arbitrary write vulnerabilities by identifying unchecked array indexing and out-of-bounds memory writes. Use when analyzing memory write operations, pointer arithmetic, or investigating code execution v...
GitHub
detecting-information-disclosure
Detects information disclosure vulnerabilities including sensitive data in logs, error message exposure, and memory leaks. Use when analyzing logging practices, error handling, or investigating data leakage iss...
GitHub
detecting-integer-overflow
Detects integer overflow and underflow vulnerabilities in arithmetic operations used for buffer sizing or allocation. Use when analyzing calculations, size computations, or investigating integer wraparound issu...
GitHub
detecting-format-string
Detects format string vulnerabilities by identifying unsafe printf family function calls with user-controlled format strings. Use when analyzing logging, error handling, or investigating memory disclosure via f...
GitHub
detecting-incorrect-memset
Detects incorrect use of memset() including wrong argument order, incorrect size calculations, and misunderstood behavior. Use when analyzing memory initialization, buffer clearing, or investigating memset() us...
GitHub
analyzing-crypto-weakness
Identifies weak cryptographic algorithms, hardcoded keys, and insecure key management practices in binary code. Use when analyzing encryption/decryption, authentication mechanisms, or reviewing cryptographic im...
GitHub
detecting-memory-leaks
Detects memory leak vulnerabilities by identifying unfreed memory allocations and missing cleanup in error paths. Use when analyzing long-running processes, resource management, or investigating memory exhausti...
GitHub
fingerprinting-binaries
Identifies binary file characteristics including compiler signatures, version information, and build environment details. Use when analyzing unknown binaries, investigating binary origins, or identifying build...
GitHub
detecting-memory-corruption
Detects various memory corruption vulnerabilities beyond simple buffer overflows including heap overflow, stack smashing, and double free. Use when analyzing complex memory management, heap operations, or inves...
GitHub
detecting-dead-code
Identifies unreachable functions, unused variables, and abandoned code in binary programs. Use when optimizing binary size, analyzing code coverage, or investigating abandoned functionality.
GitHub
detecting-suspicious-assert
Detects suspicious use of assertions for security checks that can be disabled in production builds. Use when analyzing assertion usage, security checks, or investigating assert-related vulnerabilities.
GitHub
detecting-double-free
Detects double free vulnerabilities by identifying attempts to free the same memory block twice. Use when analyzing memory management, cleanup paths, or investigating heap corruption issues.
GitHub
detecting-signed-unsigned-conversion
Detects unsafe signed/unsigned integer conversions that can lead to integer overflow and security check bypasses. Use when analyzing integer operations, comparisons, or investigating conversion-related vulnerab...
GitHub
detecting-logic-bypass
Detects logic bypass vulnerabilities including authentication bypass, authorization bypass, and business logic flaws. Use when analyzing authentication mechanisms, access controls, or investigating security con...
GitHub
detecting-unchecked-malloc
Detects unchecked return values of memory allocation functions like malloc, calloc, and realloc that can lead to null pointer dereferences. Use when analyzing memory allocation, error handling, or investigating...
GitHub
detecting-injection
Detects various injection vulnerabilities including SQL injection, LDAP injection, XPath injection, and code injection. Use when analyzing database queries, dynamic code generation, or investigating injection a...
GitHub
detecting-privilege-escalation
Detects privilege escalation vulnerabilities including setuid/setgid abuse, permission check bypasses, and unsafe privilege management. Use when analyzing setuid binaries, permission checks, or investigating pr...
GitHub
analyzing-protocols
Analyzes network protocol implementations to identify parsing vulnerabilities, state machine issues, and protocol-level security problems. Use when analyzing network servers, protocol handlers, or investigating...
GitHub
analyzing-session-management
Detects session management vulnerabilities including session fixation, session hijacking, and insecure cookie handling. Use when analyzing authentication sessions, cookie security, or investigating session-rela...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.