GitPython 操作系统命令注入漏洞

GitPython is a Python library developed by gitpython-developers, used for interacting with Git repositories. Versions of GitPython from 3.1.30 to 3.1.47 contained an operating system command injection vulnerability. This vulnerability stemmed from allowing dangerous Git options without proper...

Insertion of Sensitive Information into Log File

Overview langsmith is a Client library to connect to the LangSmith Observability and Evaluation Platform. Affected versions of this package are vulnerable to Insertion of Sensitive Information into Log File through the Client handling of events. An attacker can bypass redaction controls and...

(Pwn2Own) QNAP TS-453E server_handlers.pyc rr2s.kwargs Error Message Information Disclosure Vulnerability

This vulnerability allows network-adjacent attackers to disclose sensitive information on affected installations of QNAP TS-453E devices. Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed. The specific flaw exists within the...

CVE-2026-27953 ormar has a Pydantic Validation Bypass via Kwargs Injection in Model Constructor

ormar is a async mini ORM for Python. Versions 0.23.0 and below are vulnerable to Pydantic validation bypass through the model constructor, allowing any unauthenticated user to skip all field validation by injecting "pkonly": true into a JSON request body. By injecting "pkonly": true into a JSON...

CVE-2026-27953 ormar has a Pydantic Validation Bypass via Kwargs Injection in Model Constructor

ormar is a async mini ORM for Python. Versions 0.23.0 and below are vulnerable to Pydantic validation bypass through the model constructor, allowing any unauthenticated user to skip all field validation by injecting "pkonly": true into a JSON request body. By injecting "pkonly": true into a JSON...

CVE-2026-27953 ormar has a Pydantic Validation Bypass via Kwargs Injection in Model Constructor

ormar is a async mini ORM for Python. Versions 0.23.0 and below are vulnerable to Pydantic validation bypass through the model constructor, allowing any unauthenticated user to skip all field validation by injecting "pkonly": true into a JSON request body. By injecting "pkonly": true into a JSON...

Information Exposure

Overview apache-airflow-task-sdk is a The Apache Airflow Task SDK includes interfaces for Dag authors and Task execution logic for Python. Affected versions of this package are vulnerable to Information Exposure in the error messages in the UI when a DAG fails during parsing. A user can obtain...

CVE-2025-65995 Apache Airflow: Disclosure of secrets to UI via kwargs

When a DAG failed during parsing, Airflow’s error-reporting in the UI could include the full kwargs passed to the operators. If those kwargs contained sensitive values such as secrets, they might be exposed in the UI tracebacks to authenticated users who had permission to view that DAG. The issue...

CVE-2025-65995

Airflow CVE-2025-65995 affects the UI error-reporting path: if a DAG fails during parsing, full operator kwargs (potentially containing secrets) could be exposed in tracebacks to users with DAG viewing permissions. Affected products are Apache Airflow; root cause is leakage of sensitive values vi...

CVE-2025-65995

When a DAG failed during parsing, Airflow’s error-reporting in the UI could include the full kwargs passed to the operators. If those kwargs contained sensitive values such as secrets, they might be exposed in the UI tracebacks to authenticated users who had permission to view that DAG. The issue...

Apache Airflow 安全漏洞

Apache Airflow is an open-source platform developed by the Apache Foundation in the United States. It allows for the creation, management, and monitoring of workflows. This platform features scalability and dynamic monitoring capabilities. Versions of Apache Airflow prior to 3.1.4 and 2.11.1...

Denial Of Service (DoS)

vllm is vulnerable to Denial Of Service DoS. The vulnerability is due to unrestricted Jinja template injection through the chattemplate and chattemplatekwargs parameters, where crafted templates can trigger unbounded loops or heavy rendering operations, and attackers can exploit this to exhaust C...

The vulnerability of the vLLM library for working with large language models, related to unlimited resource distribution, allows a hacker to trigger a service failure.

The vulnerability of the vLLM library for working with large language models is related to the unlimited distribution of resources during the processing of the chattemplatekwargs parameter. Exploiting this vulnerability could allow a malicious actor to cause service failures...

CVE-2025-62426

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chattemplatekwargs request parameter that is used in the code before it is properly validated against the chat template. With the...

CVE-2025-62426 vLLM vulnerable to DoS via large Chat Completion or Tokenization requests with specially crafted `chat_template_kwargs`

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chattemplatekwargs request parameter that is used in the code before it is properly validated against the chat template. With the...

vLLM vulnerable to DoS via large Chat Completion or Tokenization requests with specially crafted `chat_template_kwargs`

Summary The /v1/chat/completions and /tokenize endpoints allow a chattemplatekwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chattemplatekwargs parameters, it is possible to block processing of the API server for long...

GHSA-69J4-GRXJ-J64P vLLM vulnerable to DoS via large Chat Completion or Tokenization requests with specially crafted `chat_template_kwargs`

Summary The /v1/chat/completions and /tokenize endpoints allow a chattemplatekwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chattemplatekwargs parameters, it is possible to block processing of the API server for long...

PT-2025-47650

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.11.0 Description vLLM is an inference and serving engine for large language models LLMs. The /v1/chat/completions and /tokenize API endpoints accept a chat template kwargs request parameter that is not properly...

vLLM: Resource-Exhaustion (DoS) through Malicious Jinja Template in OpenAI-Compatible Server

Summary A resource-exhaustion denial-of-service vulnerability exists in multiple endpoints of the OpenAI-Compatible Server due to the ability to specify Jinja templates via the chattemplate and chattemplatekwargs parameters. If an attacker can supply these parameters to the API, they can cause a...

SUSE CVE-2025-59681

An issue was discovered in Django 4.2 before 4.2.25, 5.1 before 5.1.13, and 5.2 before 5.2.7. QuerySet.annotate, QuerySet.alias, QuerySet.aggregate, and QuerySet.extra are subject to SQL injection in column aliases, when using a suitably crafted dictionary, with dictionary expansion, as the kwarg...