Amazon Linux 2 : golist, --advisory ALAS2-2026-3818 (ALAS-2026-3818)

The version of golist installed on the remote host is prior to 0.10.1-10. It is, therefore, affected by multiple vulnerabilities as referenced in the ALAS2-2026-3818 advisory. On Unix systems, opening a file in an os.Root improperly follows symlinks to locations outside of the Root when the final...

Amazon Linux 2023 : golist (ALAS2023-2026-1976)

It is, therefore, affected by multiple vulnerabilities as referenced in the ALAS2023-2026-1976 advisory. On Unix systems, opening a file in an os.Root improperly follows symlinks to locations outside of the Root when the final path component of the a path is a symbolic link and the path ends in /...

Medium: golang-github-burntsushi-toml

Issue Overview: On Unix systems, opening a file in an os.Root improperly follows symlinks to locations outside of the Root when the final path component of the a path is a symbolic link and the path ends in /. For example, 'root.Open"symlink/"' will open "symlink" even when "symlink" is a symboli...

UBUNTU-CVE-2026-42505

Handshakes which used Encrypted Client Hello could be de-anonymized by a passive network observer due to a disclosure of pre-shared key identities in the unencrypted client hello...

CVE-2026-42505

CVE-2026-42505 describes a privacy leakage in handshakes using Encrypted Client Hello (ECH) , where a passive observer can de-anonymize connections due to disclosure of pre-shared key (PSK) identities in the unencrypted ClientHello. The vulnerability is documented across multiple sources (NVD, EU...

crypto/tls: golang: Go crypto/tls: Information disclosure in Encrypted Client Hello

A flaw was found in the crypto/tls package in Go. Handshakes utilizing Encrypted Client Hello ECH could lead to de-anonymization by a passive network observer. This is due to the disclosure of pre-shared key identities within the unencrypted client hello, allowing an attacker to potentially link...

GO-2026-5856 Invoking Encrypted Client Hello privacy leak in crypto/tls

Handshakes which used Encrypted Client Hello could be de-anonymized by a passive network observer due to a disclosure of pre-shared key identities in the unencrypted client hello...

LLM-Assisted Deanonymization

Turns out that LLMs are good at de-anonymization: We show that LLM agents can figure out who you are from your anonymous online posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview transcripts, our method identifies users with high precision ­ and scales to tens of thousands of...

BIT-MOODLE-2025-3628 Moodle: moodle assignment submission search leaks anonymous student identities

A flaw has was found in Moodle where anonymous assignment submissions can be de-anonymized via search, revealing student identities...

Time Will Tell: Large-Scale De-Anonymization of Hidden I2P Services Via Live Behavior Alignment (Extended Version)

I2P Invisible Internet Project is a popular anonymous communication network. While existing de-anonymization methods for I2P focus on identifying potential traffic patterns of target hidden services among extensive network traffic, they often fail to scale effectively across the large and diverse...

Video call app Huddle01 exposed 600K+ user logs

The Cybernews research team found that video call app Huddle01 exposed email addresses, real names, and other identifiers through an unprotected Kafka broker. Think of an unprotected Kafka broker like a post office that stores and delivers confidential mail. Now, imagine the manager leaves the...

EUVD-2018-3732

Malware in sbrugna...

EUVD-2019-2775

Malware in sbrugna...

EUVD-2022-51202

Malicious code in bioql PyPI...

EUVD-2023-40614

Malicious code in bioql PyPI...

CVE-2022-48506

A flawed pseudorandom number generator in Dominion Voting Systems ImageCast Precinct ICP and ICP2 and ImageCast Evolution ICE scanners allows anyone to determine the order in which ballots were cast from public ballot-level data, allowing deanonymization of voted ballots, in several types of...

Automated Profile Inference with Language Model Agents

Impressive progress has been made in automated problem-solving by the collaboration of large language models LLMs based agents. However, these automated capabilities also open avenues for malicious applications. In this paper, we study a new threat that LLMs pose to online pseudonymity, called...

Inference Attacks for X-Vector Speaker Anonymization

We revisit the privacy-utility tradeoff of x-vector speaker anonymization. Existing approaches quantify privacy through training complex speaker verification or identification models that are later used as attacks. Instead, we propose a novel inference attack for de-anonymization. Our attack is...

UBUNTU-CVE-2025-3628

A flaw has was found in Moodle where anonymous assignment submissions can be de-anonymized via search, revealing student identities...

GLSA-202407-28 : Freenet: Deanonymization Vulnerability

The remote host is affected by the vulnerability described in GLSA-202407-28 Freenet: Deanonymization Vulnerability This release fixes a severe vulnerability in path folding that allowed to distinguish between downloaders and forwarders with an adapted node that is directly connected via opennet...