WhisperX tag archive

#memory leak

This page collects WhisperX intelligence signals tagged #memory leak. It is designed for humans, search engines, and AI agents: each item links to a canonical source-backed record with sector, source, timestamp, credibility, and exportable structured data.

Latest Signals (5)

The Lab · 2026-03-28 08:27:04 · GitHub Issues

1. CVE-2026-3055: Citrix NetScaler ADC/Gateway SAML IdP Memory Overread (CitrixBleed 3) Exposes Session Tokens

A critical new vulnerability, CVE-2026-3055, is being actively probed in the wild, targeting Citrix NetScaler ADC and Gateway appliances configured as SAML Identity Providers. With a CVSS score of 9.3, this unauthenticated memory overread flaw—dubbed 'CitrixBleed 3'—allows attackers to directly leak sensitive session t...

The Lab · 2026-03-29 11:26:55 · Hacker News

2. LinkedIn Memory Bloat: Two Browser Tabs Consume 2.4 GB RAM, Sparking Performance Concerns

LinkedIn's web platform is exhibiting severe memory consumption, with just two open browser tabs reportedly using 2.4 gigabytes of RAM. This level of resource usage is atypical for a professional networking site and signals potential underlying inefficiencies in its web architecture or client-side code. The high memory...

The Lab · 2026-04-14 11:22:58 · GitHub Issues

3. Metasploit Module Released for Citrix NetScaler Memory Leak (CVE-2026-3055)

A new exploit module has been added to the Metasploit Framework, targeting a critical memory leak vulnerability in Citrix NetScaler appliances configured as SAML identity providers. The module, identified as CVE-2026-3055, allows attackers to read arbitrary memory from vulnerable systems, potentially exposing sensitive...

The Lab · 2026-05-09 04:31:37 · r/netsec

4. Ollama AI Platform Exposed by Critical Unauthenticated Memory Leak Vulnerability (CVE-2026–7482)

A critical unauthenticated memory leak vulnerability has been disclosed in Ollama, the widely-deployed open-source platform for running large language models locally. Tracked as CVE-2026–7482 and dubbed "Bleeding Llama," the flaw allows attackers to extract sensitive data from system memory without any authentication, ...

The Lab · 2026-05-11 09:10:31 · Mastodon:mastodon.social:#infosec

5. Critical 'Bleeding Llama' Vulnerability in Ollama Exposes AI Servers to Remote Memory and Data Leaks

Security researchers have disclosed a critical out-of-bounds read vulnerability in Ollama, the widely deployed open-source AI inference engine, enabling remote attackers to extract sensitive data including process memory contents, API keys, conversation prompts, and user information from exposed servers. The flaw, trac...