CVE-2026-54293

CVE-2026-54293 affects NLTK’s nltk.data.load() in Python. A TOCTOU-style flaw lets an attacker bypass the unsafe-path regex (UNSAFE_NO_PROTOCOL_RE) by using URL-encoded path separators (e.g., %2f, %2e%2e) and then decoding, enabling arbitrary local file reads prior to the fix. Affected until vers...

EUVD-2026-38333

NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Prior to 3.10.0-rc1, nltk.data.load in NLTK is vulnerable to path traversal via URL-encoded path separators and traversal segments...

CVE-2026-54293

NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Prior to 3.10.0-rc1, nltk.data.load in NLTK is vulnerable to path traversal via URL-encoded path separators and traversal segments...

OPENSUSE-SU-2026:11098-1 python311-nltk-3.10.0rc1-1.1 on GA media

These are all security issues fixed in the python311-nltk-3.10.0rc1-1.1 package on the GA media of openSUSE Tumbleweed...

Security Bulletin: Multiple Vulnerabilities in NLTK bundled with IBM Fusion, IBM Fusion HCI, and IBM Fusion Content-Aware Storage

Summary IBM Fusion, IBM Fusion HCI, and IBM Fusion Content-Aware Storage include the Natural Language Toolkit NLTK library, which is susceptible to several critical security vulnerabilities. These flaws could allow a remote attacker to execute arbitrary code, perform arbitrary file reads via path...

Directory Traversal

Overview nltk is a Natural Language Toolkit NLTK is a Python package for natural language processing. Affected versions of this package are vulnerable to Directory Traversal via the nltk.data.load function. An attacker can access arbitrary files on the local filesystem by supplying specially...

GHSA-P4GQ-832X-FM9V Natural Language Toolkit (NLTK): URL-Encoded Path Traversal in nltk.data.load() Allows Arbitrary Local File Read

Summary nltk.data.load in NLTK is vulnerable to path traversal via URL-encoded path separators and traversal segments when using the nltk: URL scheme. The unsafe-path regex check is performed before url2pathname decodes the %xx sequences a classic decode-after-check / TOCTOU-style flaw, allowing ...

Turn specs into evals for any agent with ASSERT

Today, we’re releasing Adaptive Spec-driven Scoring for Evaluation and Regression Testing ASSERT, an open-source framework for turning natural-language behavior specifications into executable evaluations. Every team building an AI system starts with a clear intention for the behaviors they want t...

PT-2026-64418

Name of the Vulnerable Software and Affected Versions NLTK Natural Language Toolkit versions prior to 3.9.3 Description The nltk.collocations module contains an eval injection flaw. When collocations.py is executed directly, the main block passes command-line arguments to the eval function as...

USN-8302-1: NLTK vulnerabilities

It was discovered that NLTK incorrectly validated file paths when opening files using the nltk.util module. An attacker could possibly use this issue to obtain sensitive information. CVE-2026-0846 It was discovered that NLTK incorrectly validated file paths in multiple CorpusReader classes. An...

Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models

Software-Defined Networking SDN provides flexible and programmable network management; however, its centralized control architecture remains highly vulnerable to Distributed Denial-of-Service DDoS attacks, particularly Carpet-Bombing DDoS attacks that distribute malicious traffic across multiple...

Parser-Free Querying of Security Logs

Security analysts routinely query system logs to detect threats and investigate incidents, but each log source uses its own semi-structured format: logs are cheap to produce, but expensive to use. The standard approach, building per-source parsers to normalize logs into structured schemas, is...

Security Bulletin: Multiple vulnerabilities in IBM watsonx Orchestrate Developer Edition

Summary Multiple vulnerabilities were addressed in IBM watsonx Orchestrate Developer Edition version 2.10.0 Vulnerability Details CVEID:CVE-2026-33230 DESCRIPTION: NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development ...

Be Kind, Rewrite: Benign Projections Via Rewriting Defend against LLM Data Poisoning Attacks

Large language models LLMs are highly susceptible to backdoor attacks BAs, wherein training samples are poisoned using trigger-based harmful content. Furthermore, existing defenses have proven ineffective when extensively tested across BA patterns. To better combat BAs, we explore the use of LLM...

Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications

Artificial Intelligence AI is widely adopted today for its ability to detect patterns, automate tasks, and reduce time and cost across various applications. Its integration into Cybersecurity has garnered significant attention, particularly in areas such as intrusion detection, malware analysis,...

agentcore-poc

Blueprint POC - Workflow Generation & Deployment A Proof of C...

ECHO-A2CB-9FEB-100C

Bulletin has no description...

USN-8214-1: NLTK vulnerability

It was discovered that NLTK incorrectly handled file extraction when opening a maliciously crafted zip file. An attacker could possibly use this issue to create or overwrite files on the system and execute arbitrary code...

USN-8214-1 nltk vulnerability

It was discovered that NLTK incorrectly handled file extraction when opening a maliciously crafted zip file. An attacker could possibly use this issue to create or overwrite files on the system and execute arbitrary code...

Security Bulletin: IBM Watson Speech Services Cartridge is vulnerable to arbitrary code execution in NLTK [CVE-2026-0848]

Summary IBM Watson Speech Services Cartridge is vulnerable arbitrary code execution in NLTK, due to improper input validation in the StanfordSegmenter module CVE-2026-0848. NLTK is used in our speech service runtimes. This vulnerabilitiy has been addressed. Please read the details for remediation...