#auth

We follow the trail of a simple insurance text scam to show how it can spiral into full-blown identity theft.

On platforms without the `core::arch::aarch64::vxarq_u64` intrinsic, an unverified fallback in `libcrux-intrinsics` v0.0.3 passed incorrect arguments and produced wrong results. This corrupted SHA-3 digests and caused `libcrux-ml-kem` and `libcrux-ml-dsa` to sample incorrectly, yielding incorrect shared secrets and invalid signatures. The issue has been fixed in v0.0.4.

### Impact Successful exploitation of this vulnerability could allow an attacker to craft a malicious link that, when clicked by a victim, redirects them to a phishing website designed to mimic the legitimate Central Dogma login page. This could result in the compromise of user accounts and unauthorized access to the Central Dogma instance. ### Patches This vulnerability is addressed and resolved in Central Dogma version 0.78.0. The server operators who run Central Dogma server with Shiro authentication are strongly encouraged to upgrade to this version or later to mitigate the risk associated with the open redirect vulnerability. ### Workarounds Implement `AuthProvider` to overrides `webLoginService()`. ### References - https://cwe.mitre.org/data/definitions/601.html

Due to a bug in sandboxing logic, `sandbox-runtime` did not properly enforce a network sandbox if the sandbox policy did not configure any allowed domains. This could allow sandboxed code to make network requests outside of the sandbox. A patch for this was released in v0.0.16. Thank you to https://github.com/bendrucker for reporting this issue!

### Overview An improper signature verification vulnerability exists when using auth0/node-jws with the HS256 algorithm under specific conditions. ### Am I Affected? You are affected by this vulnerability if you meet all of the following preconditions: 1. Application uses the auth0/node-jws implementation of JSON Web Signatures, versions <=3.2.2 || 4.0.0 2. Application uses the jws.createVerify() function for HMAC algorithms 3. Application uses user-provided data from the JSON Web Signature Protected Header or Payload in the HMAC secret lookup routines You are NOT affected by this vulnerability if you meet any of the following preconditions: 1. Application uses the jws.verify() interface (note: `auth0/node-jsonwebtoken` users fall into this category and are therefore NOT affected by this vulnerability) 2. Application uses only asymmetric algorithms (e.g. RS256) 3. Application doesn’t use user-provided data from the JSON Web Signature Protected Header or Payload in the HMAC secret lo...

Facial recognition software has long been criticized for accuracy issues and past wrongful arrests.

Facial recognition software has long been criticized for accuracy issues and past wrongful arrests.

Cybersecurity startup AISLE discovered a Medium severity flaw in the WebXR component of Chrome, Edge, and other Chromium browsers. Over 4 billion devices were at risk. Update now.

Google has pushed out a Chrome update with 13 security fixes, including a high-severity flaw in Digital Credentials.

View CSAF 1. EXECUTIVE SUMMARY CVSS v4 8.4 ATTENTION: Exploitable remotely/low attack complexity Vendor: Sunbird Equipment: DCIM dcTrack, Power IQ Vulnerabilities: Authentication Bypass Using an Alternate Path or Channel, Use of Hard-coded Credentials 2. RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to gain unauthorized access or steal credentials. 3. TECHNICAL DETAILS 3.1 AFFECTED PRODUCTS The following Sunbird products are affected: DCIM dcTrack: Versions v9.2.0 and prior Power IQ: Versions v9.2.0 and prior 3.2 Vulnerability Overview 3.2.1 Authentication Bypass Using an Alternate Path or Channel CWE-288 DCIM dcTrack allows an attacker to misuse certain remote access features. An authenticated user with access to the appliance's virtual console could exploit these features to redirect network traffic, potentially accessing restricted services or data on the host machine. CVE-2025-66238 has been assigned to this vulnerability. A CVSS v3.1 base...