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684 matches found

Vulnrichment
Vulnrichment
added 2026/04/07 12:0 a.m.1 views

CVE-2025-69515

An issue in JXL 9 Inch Car Android Double Din Player Android v12.0 allows attackers to force the infotainment system into accepting falsified GPS signals as legitimate, resulting in the device reporting an incorrect or static location...

5.9AI score0.00495EPSS
Exploits0References2
CNNVD
CNNVD
added 2026/04/07 12:0 a.m.5 views

JXL 9 Inch Car Android Double Din Player 安全漏洞

JXL 9 Inch Car Android Double Din Player is a vehicle infotainment system developed by JXL Corporation. Version 12.0 of the JXL 9 Inch Car Android Double Din Player contains a security vulnerability. This vulnerability arises from the ability for attackers to force the infotainment system to acce...

9.1CVSS5.8AI score0.00495EPSS
Exploits0References2
RedhatCVE
RedhatCVE
added 2026/04/02 11:1 p.m.1 views

CVE-2026-5199

A writer role user in an attacker-controlled namespace could signal, delete, and reset workflows or activities in a victim namespace on the same cluster. Exploitation requires the attacker to know or guess specific victim workflow IDs and, for signal operations, signal names. This was due to a bu...

2.3CVSS6AI score0.00198EPSS
Exploits0References1
EUVD
EUVD
added 2026/04/01 6:36 p.m.4 views

EUVD-2026-17995

A writer role user in an attacker-controlled namespace could signal, delete, and reset workflows or activities in a victim namespace on the same cluster. Exploitation requires the attacker to know or guess specific victim workflow IDs and, for signal operations, signal names. This was due to a bu...

2.3CVSS6AI score0.00198EPSS
Exploits0References3
Packet Storm News
Packet Storm News
added 2026/03/26 12:0 a.m.2 views

On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats

Deep learning DL has been widely studied for assisting applications of modern wireless communications. One of the applications is automatic modulation classification AMC. However, DL models are found to be vulnerable to adversarial machine learning AML threats. One of the most persistent and...

5.7AI score
Exploits0
Microsoft Secure
Microsoft Secure
added 2026/03/25 4:0 p.m.4 views

Identity security is the new pressure point for modern cyberattacks

Identity attacks no longer hinge on who a cyberattacker compromises, but on what that identity can access. As organizations manage growing numbers of human, non-human, and agentic identities, their access fabric multiplies across apps, resources, and environments, which increases both operational...

5.8AI score
Exploits0
Packet Storm News
Packet Storm News
added 2026/03/23 12:0 a.m.2 views

TLS Certificate and Domain Feature Analysis of Phishing Domains in the Danish .Dk Namespace

Phishing attacks remain a persistent cybersecurity threat, and the widespread adoption of TLS certificates has unintentionally enabled malicious websites to appear trustworthy to users. This study examines whether certificate metadata and domain characteristics can help distinguish phishing domai...

5.8AI score
Exploits0
Microsoft Secure
Microsoft Secure
added 2026/03/20 4:0 p.m.9 views

Secure agentic AI end-to-end

Next week, RSAC™ Conference celebrates its 35-year anniversary as a forum that brings the security community together to address new challenges and embrace opportunities in our quest to make the world a safer place for all. As we look towards that milestone, agentic AI is reshaping industries...

5.8AI score
Exploits0
Talos Blog
Talos Blog
added 2026/03/19 10:0 a.m.4 views

Everyday tools, extraordinary crimes: the ransomware exfiltration playbook

Data exfiltration activity increasingly leverages legitimate native utilities, commonly deployed third-party tools, and cloud service clients, reducing the effectiveness of static indicators of compromise IOCs and tool-based blocking strategies. The Exfiltration Framework systematically normalize...

6.1AI score
Exploits0
Packet Storm News
Packet Storm News
added 2026/03/15 12:0 a.m.1 views

Activation Surgery: Jailbreaking White-Box LLMs without Touching the Prompt

Most jailbreak techniques for Large Language Models LLMs primarily rely on prompt modifications, including paraphrasing, obfuscation, or conversational strategies. Meanwhile, abliteration techniques also known as targeted ablations of internal components have been used to study and explain LLM...

5.9AI score
Exploits0
Wiz blog
Wiz blog
added 2026/03/11 12:7 a.m.2 views

Understanding and Reducing AI Risk in Modern Applications

Identify real AI risk by connecting signals in context across the layers of AI applications...

5.8AI score
Exploits0
Packet Storm News
Packet Storm News
added 2026/03/11 12:0 a.m.1 views

LROO Rug Pull Detector: A Leakage-Resistant Framework Based on On-Chain and OSINT Signals

Smart contract-based ecosystems enable decentralized applications without trusted intermediaries, but their immutability and permissionless design also facilitate large-scale fraud. One of the most prevalent attacks is the rug pull, where project operators abruptly withdraw liquidity after...

5.8AI score
Exploits0
Snyk
Snyk
added 2026/03/10 1:4 a.m.1 views

Malicious Package

Overview iron-signals is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

9.8CVSS5.8AI score
Exploits0References2
OSSF Malicious Packages
OSSF Malicious Packages
added 2026/03/10 1:4 a.m.3 views

Malicious code in iron-signals (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 015416030a87f010b10b6babdffd64778563cfccdc5ad2fa610f456be6314658 The package iron-signals was found to contain malicious code. Source: ghsa-malware 2845ee24242fc511c6b3d7ad1fe8ed0ab3feb42f943edae6255d0a72f2b88460 A...

5.7AI score
Exploits0References1
OSV
OSV
added 2026/03/10 1:4 a.m.1 views

MAL-2026-1315 Malicious code in iron-signals (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 015416030a87f010b10b6babdffd64778563cfccdc5ad2fa610f456be6314658 The package iron-signals was found to contain malicious code. Source: ghsa-malware 2845ee24242fc511c6b3d7ad1fe8ed0ab3feb42f943edae6255d0a72f2b88460 A...

5.7AI score
Exploits0References1
RedhatCVE
RedhatCVE
added 2026/03/09 8:1 a.m.5 views

CVE-2026-29194

Netmaker makes networks with WireGuard. Prior to version 1.5.0, the Authorize middleware in Netmaker incorrectly validates host JWT tokens. When a route permits host authentication hostAllowed=true, a valid host token bypasses all subsequent authorization checks without verifying that the host is...

8.6CVSS5.8AI score0.00366EPSS
Exploits0References1
Packet Storm News
Packet Storm News
added 2026/03/09 12:0 a.m.0 views

RuView: WiFi Signal Analyzer

RuView: WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection, all without a single pixel of video...

5.8AI score
Exploits0
Wired Threat Level
Wired Threat Level
added 2026/03/05 10:0 a.m.6 views

How a Music Streaming CEO Built an Open-Source Global Threat Map in His Spare Time

Frustrated by fragmented war news, Anghami’s Elie Habib built World Monitor, a platform that fuses global data, like aircraft signals and satellite detections, to track conflicts as they unfold...

5.9AI score
Exploits0
HackRead
HackRead
added 2026/03/04 11:58 a.m.9 views

Car Tyre Sensors Can Be Used to Track Drivers Without Their Knowledge

New research from IMDEA Networks reveals how unencrypted signals from tyre pressure sensors in brands like Toyota and Mercedes can be used for covert vehicle tracking. Learn how these low-cost systems can map out your daily routines and why current regulations fail to protect driver privacy...

5.9AI score
Exploits0
Packet Storm News
Packet Storm News
added 2026/02/28 12:0 a.m.4 views

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning

Machine learning based network intrusion detection systems are vulnerable to adversarial attacks that degrade classification performance under both gradient-based and distribution shift threat models. Existing defenses typically apply uniform detection strategies, which may not account for...

5.9AI score
Exploits0
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