CVE-2026-53080

A flaw was found in the Linux kernel's traffic control firewall classifier clsfw module. An attacker with the ability to create traffic control filters could exploit a vulnerability where an invalid filter, created using an older method, is processed before proper validation. This can lead to a...

EUVD-2026-38948

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsfw: fix NULL dereference of "old" filters before change Like pointed out by Sashiko 1, since commit ed76f5edccc9 "net: sched: protect filterchain list with filterchainlock mutex" TC filters are added to a shared blo...

Deserialization of Untrusted Data

Overview stanza is an A Python NLP Library for Many Human Languages, by the Stanford NLP Group Affected versions of this package are vulnerable to Deserialization of Untrusted Data while loading the lemma classifier due to unsafe fallback to torch.load..., weightsonly=False when the safe load...

Astra Linux – Vulnerability in Linux, Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: net: sched: flower: Protect flwalk with rcu. The patch that refactored flwalk to use idrforeachentrycontinueul also removed the rcu protection for individual filters. This caused a use-after-free when the filter was deleted...

CVE-2026-20256

Splunk Enterprise (versions < 10.2.4, 10.0.7, 9.4.12, 9.3.13) and Splunk Cloud Platform (versions

@hulumi/drift: Drift classifier fails open on adapter errors and over-promotes Mixed verdicts

Affected: @hulumi/drift 1.4.0 — Fixed in: 1.4.0 — Severity: Medium — CWE-755 Improper Handling of Exceptional Conditions Summary @hulumi/drift runs four adapters that each ask a different question about whether a resource has drifted Pulumi-state diff, provider-version change, CloudTrail event,...

GHSA-32G3-35G9-WC9G @hulumi/drift: Drift classifier fails open on adapter errors and over-promotes Mixed verdicts

Affected: @hulumi/drift 1.4.0 — Fixed in: 1.4.0 — Severity: Medium — CWE-755 Improper Handling of Exceptional Conditions Summary @hulumi/drift runs four adapters that each ask a different question about whether a resource has drifted Pulumi-state diff, provider-version change, CloudTrail event,...

PT-2026-48478

Affected: @hulumi/drift 1.4.0 — Fixed in: 1.4.0 — Severity: Medium — CWE-755 Improper Handling of Exceptional Conditions Summary @hulumi/drift runs four adapters that each ask a different question about whether a resource has drifted Pulumi-state diff, provider-version change, CloudTrail event,...

Splunk Enterprise 输入验证错误漏洞

Splunk Cloud Platform and Splunk Enterprise are both products of the American company Splunk. Splunk Cloud Platform is a powerful service for data collection, processing, and analysis. Splunk Enterprise is a suite of software for data collection and analysis. There is an input validation...

OPENSUSE-SU-2026:20928-1 Security update for syft

This update for syft fixes the following issues: Changes in syft: - Update to version 1.45.0: Added Features - Add support for ZapAddOns as jar files 4654 4932 @douglasclarke - MySQL binary classifier should distinguish between MySQL Cluster ndb and MySQL 3297 4907 @witchcraze - Catalog...

Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection

Text-centered prompt-injection defenses assume that the malicious signal is visible in one of the inspected text views. We study a reproducible LLM01-style indirect prompt/content-injection failure mode where that assumption breaks: a payload caught in plain English slips past the same detector...

CVE-2026-31224

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...

Steering LLM Viewpoints through Fabricated Evidence Injection

As chatbots increasingly influence daily decision-making, their potential to produce misleading responses poses substantial risks to users. This paper investigates a critical cognitive vulnerability in LLMs: their tendency to uncritically trust external context when presented with fabricated...

Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security

Large Language Models LLMs are increasingly vulnerable to adversarial prompts that exploit semantic ambiguities to bypass safety mechanisms, resulting in harmful or inappropriate outputs. Such attacks, including jailbreaking and prompt injection, pose significant risks to the integrity and...

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...

Deserialization of Untrusted Data

Overview snorkel is an A system for quickly generating training data with weak supervision Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the MultitaskClassifier.load function. An attacker can execute arbitrary code by supplying a maliciously crafted mode...

EUVD-2026-29508

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...

GHSA-GPX5-7XM4-229W Snorkel MultitaskClassifier.load uses an unsafe torch.load

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...

Snorkel MultitaskClassifier.load uses an unsafe torch.load

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...

CVE-2026-31224

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...