dynaconf 安全漏洞

dynaconf is an open-source Python application configuration management library developed by Dynaconf. Versions of dynaconf prior to 3.2.13 contained security vulnerabilities. These vulnerabilities stemmed from insecure template evaluations in the @Jinja parser, which could lead to server-side...

GHSA-JP2Q-39XQ-3W4G Entity Expansion Limits Bypassed When Set to Zero Due to JavaScript Falsy Evaluation in fast-xml-parser

Summary The DocTypeReader in fast-xml-parser uses JavaScript truthy checks to evaluate maxEntityCount and maxEntitySize configuration limits. When a developer explicitly sets either limit to 0 — intending to disallow all entities or restrict entity size to zero bytes — the falsy nature of 0 in...

Important: Red Hat Security Advisory: Red Hat OpenShift AI 3.4.0-ea.1 Release

Updated images are now available for Red Hat OpenShift AI. This advisory contains the container images for Red Hat OpenShift AI 3.4.0-ea.1. This release is provided as Early Access EA, offering a preview of upcoming features and functionality. It is intended for evaluation and feedback during...

Automated Logic WebCTRL Premium Server

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to read, intercept, or modify communications. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such as: Minimize network...

Quantifying Memory Cells Vulnerability for DRAM Security

Dynamic Random Access Memory DRAM is pervasive in computer systems. Cell vulnerabilities caused by unintended phenomena forced retention failure, latency alteration, rowhammer and rowpress lead to unintended bit flips in memory. These phenomena have been explored as attacks to violate data...

GHSA-PXRR-HQ57-Q35P dynaconf Affected by Remote Code Execution (RCE) via Insecure Template Evaluation in @jinja Resolver

Summary Dynaconf is vulnerable to Server-Side Template Injection SSTI due to unsafe template evaluation in the @jinja resolver. When the jinja2 package is installed, Dynaconf evaluates template expressions embedded in configuration values without a sandboxed environment. If an attacker can...

Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

Semantic segmentation models are widely deployed in safety-critical applications such as autonomous driving, yet their vulnerability to backdoor attacks remains largely underexplored. Prior segmentation backdoor studies transfer threat settings from existing image classification tasks, focusing...

PISmith: Reinforcement Learning-Based Red Teaming for Prompt Injection Defenses

Prompt injection poses serious security risks to real-world LLM applications, particularly autonomous agents. Although many defenses have been proposed, their robustness against adaptive attacks remains insufficiently evaluated, potentially creating a false sense of security. In this work, we...

Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents

Artificial intelligence AI systems are increasingly adopted as tool-using agents that can plan, observe their environment, and take actions over extended time periods. This evolution challenges current evaluation practices where the AI models are tested in restricted, fully observable settings. I...

From Storage to Steering: Memory Control Flow Attacks on LLM Agents

Modern agentic systems allow Large Language Model LLM agents to tackle complex tasks through extensive tool usage, forming structured control flows of tool selection and execution. Existing security analyses often treat these control flows as ephemeral, one-off sessions, overlooking the persisten...

OpenClaw PRISM: A Zero-Fork, Defense-In-Depth Runtime Security Layer for Tool-Augmented LLM Agents

Tool-augmented LLM agents introduce security risks that extend beyond user-input filtering, including indirect prompt injection through fetched content, unsafe tool execution, credential leakage, and tampering with local control files. We present OpenClaw PRISM, a zero-fork runtime security layer...

CVE-2026-31866 Allocation of Resources Without Limits or Throttling in flagd

flagd is a feature flag daemon with a Unix philosophy. Prior to 0.14.2, flagd exposes OFREP /ofrep/v1/evaluate/... and gRPC evaluation.v1, evaluation.v2 endpoints for feature flag evaluation. These endpoints are designed to be publicly accessible by client applications. The evaluation context...

CVE-2026-31866

flagd is a feature flag daemon with a Unix philosophy. Prior to 0.14.2, flagd exposes OFREP /ofrep/v1/evaluate/... and gRPC evaluation.v1, evaluation.v2 endpoints for feature flag evaluation. These endpoints are designed to be publicly accessible by client applications. The evaluation context...

CVE-2026-31866 Allocation of Resources Without Limits or Throttling in flagd

flagd is a feature flag daemon with a Unix philosophy. Prior to 0.14.2, flagd exposes OFREP /ofrep/v1/evaluate/... and gRPC evaluation.v1, evaluation.v2 endpoints for feature flag evaluation. These endpoints are designed to be publicly accessible by client applications. The evaluation context...

Critical n8n Flaws Allow Remote Code Execution and Exposure of Stored Credentials

Cybersecurity researchers have disclosed details of two now-patched security flaws in the n8n workflow automation platform, including two critical bugs that could result in arbitrary command execution. The vulnerabilities are listed below - CVE-2026-27577 CVSS score: 9.4 - Expression sandbox esca...

Watch out for tax-season robocalls pushing fake “relief programs”

While Americans are sorting through paperwork to get their taxes filed in time, scammers are working overtime to grab a piece of the action. As tax season ramps up, so does scam activity. Our telemetry shows a spike in robocalls impersonating tax resolution firms, tax relief agencies, and vaguely...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the evaluation endpoints, including /ofrep/v1/evaluate/flags/flagKey, /ofrep/v1/evaluate/flags, and various gRPC methods. An attacker can cause memory exhaustion and process...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the evaluation endpoints, including /ofrep/v1/evaluate/flags/flagKey, /ofrep/v1/evaluate/flags, and various gRPC methods. An attacker can cause memory exhaustion and process...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the evaluation endpoints, including /ofrep/v1/evaluate/flags/flagKey, /ofrep/v1/evaluate/flags, and various gRPC methods. An attacker can cause memory exhaustion and process...

Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the evaluation endpoints, including /ofrep/v1/evaluate/flags/flagKey, /ofrep/v1/evaluate/flags, and various gRPC methods. An attacker can cause memory exhaustion and process...