4311 matches found
WeKan 访问控制错误漏洞
WeKan is an open-source dashboard application developed by WeKan. Versions of WeKan prior to 8.20 contained a security vulnerability related to access control. This vulnerability stemmed from improper access control due to operations on the functions in the models/lists.js file...
Inference-Time Backdoors Via Hidden Instructions in LLM Chat Templates
Open-weight language models are increasingly used in production settings, raising new security challenges. One prominent threat in this context is backdoor attacks, in which adversaries embed hidden behaviors in language models that activate under specific conditions. Previous work has assumed th...
[Webinar] The Smarter SOC Blueprint: Learn What to Build, Buy, and Automate
Most security teams today are buried under tools. Too many dashboards. Too much noise. Not enough real progress. Every vendor promises “complete coverage” or “AI-powered automation,” but inside most SOCs, teams are still overwhelmed, stretched thin, and unsure which tools are truly pulling their...
CVE-2026-1743
A vulnerability has been found in DJI Mavic Mini, Air, Spark and Mini SE up to 01.00.0500. Affected by this vulnerability is an unknown functionality of the component Enhanced Wi-Fi Pairing. The manipulation leads to authentication bypass by capture-replay. The attack must be carried out from...
SAMSUNG多款产品 安全漏洞
SAMSUNG Mobile Processor and SAMSUNG Wearable Processor are both products of South Korean company Samsung. The SAMSUNG Mobile Processor is a series of mobile processors. The SAMSUNG Wearable Processor is a series of wearable processors. Several SAMSUNG products have security vulnerabilities. Thes...
SAMSUNG多款产品 安全漏洞
SAMSUNG Mobile Processor and SAMSUNG Wearable Processor are both products of South Korean company Samsung. The SAMSUNG Mobile Processor is a series of mobile processors. The SAMSUNG Wearable Processor is a series of wearable processors. Several Samsung products have security vulnerabilities. Thes...
SAMSUNG多款产品 安全漏洞
SAMSUNG Mobile Processor and SAMSUNG Wearable Processor are both products of South Korean company Samsung. The SAMSUNG Mobile Processor is a series of mobile processors. The SAMSUNG Wearable Processor is a series of wearable processors. Several SAMSUNG products have security vulnerabilities. Thes...
Lexmark 安全漏洞
Lexmark is a series of printers produced by the American company Lexmark. Several Lexmark products have security vulnerabilities, which stem from relative path traversal in the embedded solution framework, potentially allowing for the execution of arbitrary code. The following products are...
Lexmark多款产品 安全漏洞
The Lexmark CX410 is a product of the American company Lexmark. The Lexmark CX410 is a printer. The Lexmark CX510 is a multifunctional printer. The Lexmark CX82x is a multifunctional printer. Several products from Lexmark have security vulnerabilities; these vulnerabilities stem from the Postscri...
CVE-2025-69430
An Incorrect Symlink Follow vulnerability exists in multiple Yottamaster NAS devices, including DM2 version equal to or prior to V1.9.12, DM3 version equal to or prior to V1.9.12, and DM200 version equal to or prior to V1.2.23 that could be exploited by attackers to leak or tamper with the intern...
CVE-2025-58340
CVE-2025-58340 affects Samsung’s Wi‑Fi driver for the Exynos family (980/850/1080/1280/1330/1380/1480/1580, W920/W930/W1000). The issue is an unbounded memory allocation caused by a large buffer in a /proc/driver/unifi0/send_delts write operation, leading to kernel memory exhaustion. The NVD/Red ...
Insertion of Sensitive Information into Log File
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Insertion of Sensitive Information into Log File via the videourl parameter, which allows remote files to be fetched and processed. An attacker can...
CVE-2026-1778 TLS disabled by default in select aws/sagemaker-python-sdk configurations
Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succeed...
Amazon SageMaker Python SDK 安全漏洞
Amazon SageMaker Python SDK is a development toolkit provided by Amazon, Inc., for building, training, and deploying machine learning models. Versions of the Amazon SageMaker Python SDK prior to v3.1.1 and v2.256.0 contained security vulnerabilities. These vulnerabilities stemmed from the disabli...
PT-2026-5709
Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succeed...
The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers
Detecting whether a model has been poisoned is a longstanding problem in AI security. In this work, we present a practical scanner for identifying sleeper agent-style backdoors in causal language models. Our approach relies on two key findings: first, sleeper agents tend to memorize poisoning dat...
Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents
Large language models LLMs have shown promise in assisting cybersecurity tasks, yet existing approaches struggle with automatic vulnerability discovery and exploitation due to limited interaction, weak execution grounding, and a lack of experience reuse. We propose Co-RedTeam, a security-aware...
Toxic_Flow_Analysis_Framework_For_Agentic_AI
Toxic Flow Analysis TFA Framework A Secure-by-Design framew...
Iran-Linked RedKitten Cyber Campaign Targets Human Rights NGOs and Activists
A Farsi-speaking threat actor aligned with Iranian state interests is suspected to be behind a new campaign targeting non-governmental organizations and individuals involved in documenting recent human rights abuses. The activity, observed by HarfangLab in January 2026, has been codenamed...
From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
Security vulnerabilities often arise unintentionally during development due to a lack of security expertise and code complexity. Traditional tools, such as static and dynamic analysis, detect vulnerabilities only after they are introduced in code, leading to costly remediation. This work explores...