OGhidra

OGhidra 3 - AI-Powered Reverse Engineering with Ghidra For the version using a Claude-inspired Orchestrator, see https://github.com/llnl/OGhidra/tree/orchestrator OGhidra bridges Large Language Models with Ghidra's reverse engineering platform, enabling AI-driven binary analysis through natural...

Zetsu

A personal offline RAG system for offensive security knowledge. Ingest your writeups, lab solutions, bug bounty reports, and security blogs, then query them in natural language during engagements. No cloud, no SaaS, your knowledge stays yours. What it does ZETSU turns your accumulated knowledge...

finalrun-agent

finalrun.app • Docs • Blog • Cloud Device Waitlist • Join Slack Community Follow us on finalrun-agent is an AI-driven CLI that tests your Android and iOS apps using natural language. You write a plain-English test in YAML, FinalRun launches your app on an emulator or simulator, uses an AI model...

Reversecore_MCP

Reversecore MCP AI-Powered Reverse Engineering & Security Analysis via Model Context Protocol An MCP server that gives AI assistants like Claude and Cursor the ability to perform reverse engineering, malware analysis, vulnerability research, digital forensics, and source code auditing through...

strot

Reverse-engineer any website's internal API with natural language The Problem Modern websites load data through hidden AJAX calls: Data isn't in the HTML - it's fetched via internal APIs You have to manually inspect network requests Complex pagination logic buried in JavaScript APIs change...

reconpal

ReconPal: Aprovechando el PLN para la Seguridad Informática El reconocimiento recon es una de las fases más importantes que parecen fáciles, pero requiere mucho esfuerzo y habilidad para hacerlo correctamente. Es necesario conocer las herramientas adecuadas, las consultas/sintaxis correctas,...

endgame

ENDGAME C2 FRAMEWORK ENDGAME is a professional command and control framework built for authorized red team engagements, penetration testing, and educational security research. Designed to simulate realistic adversary techniques, assess detection coverage, and help security teams understand their...

Topological Signatures of Cyber-Attack Classes in Natural Visibility Graph Representations of Network Traffic

Natural Visibility Graph NVG-based representations provide a promising approach for capturing structural patterns in sequential network traffic. However, whether different cyber-attack classes exhibit distinctive topological signatures in such representations remains insufficiently understood. Th...

Introducing AI Assistant for Akamai Web Security Analytics

Discover how AI Assistant for Akamai Web Security Analytics helps SOC and AppSec teams investigate events faster and take guided action with natural language...

virtuoso-opensource: Openlink Virtuoso-opensource: Denial of Service via crafted SQL statements

A flaw was found in openlink virtuoso-opensource. This vulnerability allows an attacker to cause a Denial of Service DoS, meaning the service becomes unavailable to legitimate users. This can be achieved by sending specially crafted SQL statements to the sqlonaturaljoincond component, disrupting...

EUVD-2026-52226

NLTK: Missing Post-Download Integrity Verification Allows Malicious Package Injection...

Construction and Natural Language Querying of a Cybersecurity Knowledge Graph

Cybersecurity vulnerability information is distributed across numerous platforms and databases, making it difficult for researchers and practitioners to obtain a unified and structured understanding of existing threats. This is a critical issue in cybersecurity, where timely access to accurate...

The vulnerability of the NLTK library package for symbolic and statistical processing of natural language lies in its insecure initialization of resources, which allows attackers to bypass existing security mechanisms.

The vulnerability of the NLTK library package for symbolic and statistical processing of natural language is related to insecure initialization of resources. Exploiting this vulnerability could allow a malicious actor to bypass existing security measures remotely...

A Comprehensive Survey on Linguistic Steganography: Methods, Countermeasures, Evaluation, and Challenges

Linguistic steganography hides secret messages in natural language text. Large language models LLMs have reshaped the field, but a systematic account of how these scattered advances collectively reshape the field in this new era is still missing. We provide one along four axes: 148 steganographic...

CVE-2026-12372

A flaw was found in NLTK. A Server-Side Request Forgery SSRF vulnerability allows an attacker to influence a URL passed to NLTK's network-loading helpers. This occurs because the nltk.pathsec.validatenetworkurl function fails to properly identify and reject IP addresses within the RFC 6598 shared...

Linux Distros Unpatched Vulnerability : CVE-2026-12261

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - A vulnerability in nltk.downloader in nltk/nltk versions = 3.9.4 allows for cross-package resource and model poisoning. The downloader extracts package archives...

PYSEC-2026-3582 Natural Language Toolkit (NLTK): ReDoS in NLTK ReviewsCorpusReader FEATURES regex

Summary ReviewsCorpusReader extracts feature annotations of the form label followed by a bracketed signed digit e.g. a label then +2 from each review line, using the module-level FEATURES regex. The feature-label sub-pattern is unbounded — an optional greedy run of word-plus-whitespace groups...

PYSEC-2026-3581 Natural Language Toolkit (NLTK): Path Traversal in NKJPCorpusReader leads to Arbitrary File Read and bypasses the nltk.pathsec sandbox (ENFORCE=True)

Summary A path-traversal vulnerability in NKJPCorpusReader allows an attacker who can influence the fileids argument of its public read methods header, raw, words, sents, taggedwords to read files outside the corpus root. The reader builds the file path with no containment check and opens it with...

CVE-2026-12259

In nltk version 3.9.4, the nltk.downloader.Downloader.downloadpackage function writes downloaded package bytes to disk and may extract them before enforcing SHA-256 or MD5 checksum validation. This allows an attacker to tamper with the package response body for info.url through a compromised...

CVE-2026-12259 Improper Input Validation in nltk/nltk

In nltk version 3.9.4, the nltk.downloader.Downloader.downloadpackage function writes downloaded package bytes to disk and may extract them before enforcing SHA-256 or MD5 checksum validation. This allows an attacker to tamper with the package response body for info.url through a compromised...