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Packet Storm News
Packet Storm News
•added 2026/05/21 12:00 a.m.•44 views

Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems

Injection detectors deployed to protect LLM agents are calibrated on static, template-based payloads that announce themselves as override directives. We identify a systematic blind spot: when payloads are generated to mimic the domain vocabulary and authority structures of the target document, wh...

5.8AI score
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Packet Storm News
Packet Storm News
•added 2026/05/21 12:00 a.m.•43 views

Practical Countermeasure against Attacks Exploiting Detection Efficiency Mismatch in Quantum Key Distribution

We demonstrate a practical countermeasure against a well-known class of attacks on quantum key distribution QKD systems that exploit detection efficiency mismatch, where the receiver's detectors do not exhibit identical responses to incoming photons across all degrees of freedom. This class of...

5.8AI score
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Circl
Circl
•added 2026/05/20 7:03 p.m.•23 views

CVE-2026-7613

creationtimestamp| type| source ---|---|--- 2026-05-20 19:03:49+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3mmcluegihp2r 2026-05-25 02:12:57+00:00| seen| https://bsky.app/profile/donwebmedia.bsky.social/post/3mmnfpf2cmd2i...

7.2CVSS5.8AI score0.00318EPSS
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GithubExploit
GithubExploit
•added 2026/05/20 3:52 p.m.•125 views

cve-honeypot

🪤 CVE Honeypot Farm Emulates vulnerable services based on rea...

5.8AI score
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osv_mal
osv_mal
•added 2026/05/20 7:38 a.m.•30 views

MAL-2026-4581 Malicious code in idlidosa (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 5c6cba2c58d95d705af7dc5bb1c630129127835fb1ef15d4ccf43ec2818bf632 The package is purpose-built tooling to defeat exam-proctoring / lockdown software, with multiple installer-machine integrity harms triggered when th...

5.4AI score
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attackerkb
attackerkb
•added 2026/05/20 6:46 a.m.•16 views

CVE-2026-6405

The Anomify AI – Anomaly Detection and Alerting plugin for WordPress is vulnerable to Cross-Site Request Forgery CSRF leading to Stored Cross-Site Scripting XSS in versions up to and including 0.3.6. This is due to missing nonce verification on the settings page handler and insufficient output...

4.3CVSS6AI score0.00202EPSS
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AstraLinux
AstraLinux
•added 2026/05/20 5:53 a.m.•14 views

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: iio: imu: stlsm6dsx: Set buffer sampling frequency for accelerometer only The stlsm6dsxhwfifoodrstore function, which is called when the user space writes the buffer sampling frequency sysfs attribute, calls stlsm6dsxcheckodr. Th...

7.8CVSS7.1AI score0.00165EPSS
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AstraLinux
AstraLinux
•added 2026/05/20 5:53 a.m.•18 views

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerabilities have been resolved: powerpc/bpf: Fixed the detection of BPF atomic instructions. The commit 91c960b0056672 “bpf: Rename BPFXADD and prepare to encode other atomic instructions in .imm” changed BPFXADD to BPFATOMIC and added a mechanism to...

3.3CVSS5.7AI score0.00187EPSS
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AstraLinux
AstraLinux
•added 2026/05/20 5:53 a.m.•22 views

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: arm64: contpte: fixed the no-op check for SMMU/ATS faults in setaccessflags contpteptepsetaccessflags compares the gathered ptepget value with the requested entry to detect no-ops. ptepget ORs AF/dirty from all sub-PTEs in the CO...

5.5CVSS5.5AI score0.00162EPSS
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Packet Storm News
Packet Storm News
•added 2026/05/20 12:00 a.m.•24 views

Detecting Trojaned DNNs Via Spectral Regression Analysis

Modern DNNs are repeatedly fine-tuned to incorporate new data and functionality. This evolutionary workflow introduces a security risk when updated data cannot be fully trusted, as adversaries may implant Trojans during fine-tuning. We present MIST, a Trojan detection approach that analyzes how a...

5.8AI score
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Packet Storm News
Packet Storm News
•added 2026/05/20 12:00 a.m.•24 views

Detecting Offensive Cyber Agents: A Detection-In-Depth Approach

Artificial Intelligence AI agents can now orchestrate cyberattacks. This development is already increasing the speed and scale of cyber attacks, decreasing attack costs, and improving the operational autonomy of cyber capabilities. To defend against these emerging threats, actors must first devel...

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Packet Storm News
Packet Storm News
•added 2026/05/20 12:00 a.m.•61 views

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection

Recent benchmark efforts have advanced the evaluation of large language models LLMs in cybersecurity, including tasks such as penetration testing and vulnerability identification. However, a critical cybersecurity task, namely intrusion detection from system logs, remains unexplored. In this work...

5.8AI score
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Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/05/20 12:00 a.m.•8 views

CVE-2026-6405: Cross-Site Request Forgery (CSRF)

The Anomify AI – Anomaly Detection and Alerting plugin for WordPress is vulnerable to Cross-Site Request Forgery CSRF leading to Stored Cross-Site Scripting XSS in versions up to and including 0.3.6. This is due to missing nonce verification on the settings page handler and insufficient output...

4.3CVSS6.1AI score0.00202EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/05/20 12:00 a.m.•5 views

CVE-2026-6404: Improper Neutralization of Input During Web Page Generation

The Anomify AI – Anomaly Detection and Alerting plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'anomifyapikey' parameter in versions up to and including 0.3.6. This is due to insufficient input sanitization and missing output escaping: the plugin applies sanitizetextfie...

4.4CVSS5.9AI score0.00327EPSS
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Packet Storm News
Packet Storm News
•added 2026/05/20 12:00 a.m.•30 views

GenAI-Driven Threat Detection with Microsoft Security Copilot

Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring constantly updated expertise across an increasingly fragmented security...

5.8AI score
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osv_mal
osv_mal
•added 2026/05/19 11:08 p.m.•32 views

MAL-2026-4606 Malicious code in martinez-polygon-clipping-tony (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector dabf04b2f99e28eb10740bd7459bf64513fac98a064b60071b1e7aabf8674dd0 Package name impersonates the legitimate martinez-polygon-clipping library: README, badges, and API surface are copied verbatim, while repository...

5.7AI score
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Github Security Blog
Github Security Blog
•added 2026/05/19 7:46 p.m.•44 views

Turbo: Unexpected local code execution during Yarn Berry detection

Impact Turborepo can be vulnerable to arbitrary code execution when run in untrusted repositories that contain malicious Yarn configuration. In affected versions, package manager detection executed yarn --version from the project directory, which could cause Yarn to load and execute a...

9.8CVSS6.5AI score0.00643EPSS
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osv_ghsa
osv_ghsa
•added 2026/05/19 7:46 p.m.•60 views

GHSA-3QCW-2RHX-2726 Turbo: Unexpected local code execution during Yarn Berry detection

Impact Turborepo can be vulnerable to arbitrary code execution when run in untrusted repositories that contain malicious Yarn configuration. In affected versions, package manager detection executed yarn --version from the project directory, which could cause Yarn to load and execute a...

9.8CVSS6.5AI score0.00643EPSS
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Patchstack
Patchstack
•added 2026/05/19 7:46 p.m.•19 views

NPM: Turbo: Unexpected local code execution during Yarn Berry detection

NPM: Turbo: Unexpected local code execution during Yarn Berry detection vulnerability discovered by ? in WordPress Npm turbo versions = 1.1.0, 2.9.14...

9.8CVSS6.1AI score0.00643EPSS
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Patchstack
Patchstack
•added 2026/05/19 5:36 p.m.•28 views

WordPress Anomify AI – Anomaly Detection and Alerting plugin <= 0.3.6 - Cross-Site Request Forgery vulnerability

Cross-Site Request Forgery vulnerability discovered by Muhammad Nur Ibnu Hubab Ibnu - Pondok Teknologi in WordPress Plugin Anomify AI – Anomaly Detection and Alerting versions = 0.3.6...

4.3CVSS5.8AI score0.00202EPSS
SaveExploits0References1Affected Software1
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