drift-corpus

The Drift Corpus: Ring 0 Drift Corpus is the definitive, open-source repository of Windows Kernel patch diffs. These artifacts are produced using Drift Agent , ByteRay's automatic reverse engineering engine and part of the Argus-Systems platform. With Drift, we have successfully mapped, analyzed,...

Boucle-framework

Boucle Claude Code hooks that actually enforce your rules. 7 standalone hooks, plus enforce-hooks for CLAUDE.md policy, audit tooling, 1,900+ tests, and a searchable Claude Code gaps corpus with severity ratings and workarounds. Quick links: Check your setup · Install hooks · Known limitations ·...

resmack-fuzz-test

Resmack Fuzz Test This project is an exploration of a feedback-driven fuzzer that uses: ptrace for instrumentation with dynamic memory breakpoints specified by the target process process snapshotting/restoring using /proc/pid/map, /proc/pid/clearrefs, and /proc/pid/pagemap using processvmwritev...

vulnerability-research

Vulnerability Research My corpus of publicly disclosed vulnerabilities and other findings...

PersonalStuff

PersonalStuff sax.tar.xz - Epic sax guy video in .m3u8 format. TelegramPrivacy.pdf - Privacy bug in Telegram. firefoxaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa.lnk - Corpous for fuzzing liblnk. pack.sh - Standard packages to resolve common dependencies in Ubuntu 18.04. tcpcorpus.tar.xz - Corpous for...

test-fuzz

test-fuzz test-fuzz is a Cargo subcommand and a collection of Rust macros to automate certain tasks related to fuzzing with afl.rs, including: generating a fuzzing corpus implementing a fuzzing harness test-fuzz accomplishes these in part using Rust's testing facilities. For example, to generate ...

LibPNG_OSS-Fuzz

Fuzzing and Vulnerability Analysis of libpng Group Security Research Project About Fuzzing: Fuzzing is an automated software testing technique that provides invalid, unexpected, or random data as inputs to a program to discover bugs and vulnerabilities. Coverage-guided fuzzing uses code coverage...

GuardRAG: A Post-Retrieval Defense against Poisoning Attacks in Retrieval-Augmented Generation

Retrieval-Augmented Generation RAG enhances the factual grounding of Large Language Models LLMs by incorporating external evidence, but also exposes them to corpus poisoning attacks. In particular, coordinated attacks can introduce multiple mutually reinforcing poisoned documents into retrieved...

False-Alarm Improvements and Detection Trade-Offs in QML Intrusion Detection: A Secondary Analysis of the Kaissar Corpus

Published results in quantum machine learning for intrusion detection QML-IDS require joint interpretation of false-positive rate FPR, attack true-positive rate TPR, and evaluation provenance. We reconstruct operating points in the 25-entry frame selected by Kaissar and colleagues: 21 included...

Protection Is Not One Event: A Survey of RAG Protection Research by Measured Endpoint

Retrieval-augmented generation RAG systems face security, privacy, and copyright risks including content leakage, source reconstruction, unauthorized access, data poisoning, and prompt injection. Yet RAG protection studies use incompatible evaluation metrics, datasets, and threat models. We prese...

PT-2026-110421

Name of the Vulnerable Software and Affected Versions houtini-ai voice-analyser-mcp versions prior to 2.1.2 Description A server-side request forgery SSRF exists within the collect corpus component. This occurs when the fetch function in the src/utils/crawler.ts file improperly handles the sitema...

lava

LAVA: Adición Automatizada de Vulnerabilidades a Gran Escala Evaluar y mejorar las herramientas de búsqueda de errores es actualmente difícil debido a la escasez de corpus de verdad fundamental es decir, software que tiene errores conocidos con entradas que los desencadenan. LAVA intenta resolver...

SecJev: Bringing Security Expertise to System One Decision Models

Security workflows need models that turn complex observations and explicit policies into decisions. System One models introduced by Jev return typed predictions and probabilities; security specialization supplies the domain expertise behind those predictions. We introduce SecJev, to our knowledge...

On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection

Synthetic speech detection is critical for audio security, but performance can degrade when labeled data are scarce and evaluation conditions differ from training. This study examines quantum kernel methods and lightweight neural models for cross-corpus audio deepfake detection under limited...

Divide and Doubt: Diverse Distributed Poisoning for Retrieval-Augmented Generation

Multi-passage corpus poisoning often repeats one target claim across similar documents, creating correlated lexical and semantic patterns that similarity- and conflict-aware defenses can suppress jointly. We introduce DnD Divide and Doubt, a targeted attack based on two principles: distributing...

RAG-NAROK: Retrieval-Aware Knowledge Corpus Poisoning in RAG with Source-Specific Refutation

Retrieval augmented generation RAG systems have emerged as the dominant architecture for grounding large language model LLM outputs in verifiable external knowledge, yet their structural reliance on a dynamic retrieval pipeline introduces a largely unexplored class of adversarial vulnerability...

lava v3.3.1

LAVA: Large Scale Automated Vulnerability Addition Evaluating and improving bug-finding tools is currently difficult due to a shortage of ground truth corpora i.e., software that has known bugs with triggering inputs. LAVA attempts to solve this problem by automatically injecting bugs into...

NLTK: Quadratic CPU Exhaustion in `XMLCorpusView._read_xml_fragment()`

SummaryXMLCorpusView.readxmlfragment reads a corpus file in 1 KiB blocks, appendingeach block to a growing fragment string, then calls VALIDXMLRE.matchfragmenton the full accumulated buffer every iteration. Because each iteration rescans theentire accumulated fragment, the total amount of work...

aidriver (0.1.0), lama-cleaner (>=0.18.0, <=0.23.0) +3 more potentially affected by CVE-2026-9856 via transformers (4.20.0)

transformers PYPI version 4.20.0 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - aidriver 0.1.0 - lama-cleaner =0.18.0, =1.0.0, =2022.6.23, =2022.6.29.post2 Source cves: CVE-2026-9856 Source advisory:...

NLTK: Corpus Reader Sandbox Bypass

Summary NLTK corpus-reader constructors can still reach outside-root file and database reads before the nltk.pathsec sandbox boundary is enforced. The PoC shows the safe path blocked by pathsec.open, then LinThesaurusCorpusReader and PanLexLiteCorpusReader succeeding in the same process. Affected...