Exploit Intelligence vulnerabilities
21 known vulnerabilities in Exploit Intelligence from Red Hat. 20 are rated high or critical, and 2 have been exploited in real attacks. Each entry lists the affected versions and the release that fixes it, where the vendor has published one.
Latest first
- 7.7 High severity
Exploit Intelligence: Missing Authorization
A flaw was found in the management interface of the Quarkus framework, specifically within the quarkus-vertx-http component. The issue occurs when the framework incorrectly combines the management root path with specific permission rules, leading to a situatio
- 9.1 Critical severity
Red Hat build of Quarkus 3.27.6.redhat: Direct Request
A flaw was found in Quarkus REST Data Panache. This vulnerability allows unauthenticated attackers to bypass security controls on generated endpoints. When a developer customizes a specific operation using @MethodProperties without explicitly re-declaring secu
- 7.5 High severity
Red Hat Build of Apache Camel 3.33.4.redhat: Uncontrolled Resource Consumption
A flaw was found in the SmallRye Fault Tolerance library, which is used by Quarkus to provide strategies like retries and circuit breakers for microservices. The issue occurs when using the ApplyGuard or ApplyFaultTolerance annotations, where the library fails
- 7.5 High severity
Red Hat build of Quarkus 3.27.5.SP2: Incorrect Behavior Order: Authorization Before Parsing and Canonicalization
A flaw was found in Quarkus HTTP security. An unauthenticated attacker can exploit a discrepancy in how paths are normalized between the security matcher and HTTP request dispatchers. This allows the attacker to craft a URL that the security matcher considers
- 7.5 High severity
Red Hat build of Quarkus 3.27.5.SP2: Allocation of Resources Without Limits or Throttling
A flaw was found in quarkus-websockets-next. This vulnerability allows a remote attacker to cause a Denial of Service (DoS) by streaming messages over a single connection faster than the application can process them. Due to unbounded message buffering and a la
- 9.1 Critical severity
vllm: Inconsistent Interpretation of HTTP Requests
vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It al
- 9.8 Critical severity
litellm: Authentication Bypass by Spoofing
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. Prior to 1.84.0, a Host-header parsing flaw in the LiteLLM proxy could, under specific conditions, allow unauthenticated access to protected management routes. The auth layer
- 7.5 High severity
nltk: Improper Limitation of a Pathname to a Restricted Directory
NLTK (Natural Language Toolkit) is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Prior to 3.10.0-rc1, nltk.data.load() in NLTK is vulnerable to path traversal via URL-encoded
- 9.8 Critical severity
litellm: Improper Authentication
A weakness has been identified in BerriAI litellm up to 1.59.8. Affected is the function UserAPIKeyAuth of the file litellm/proxy/_experimental/mcp_server/auth/user_api_key_auth_mcp.py of the component MCP Proxy. Executing a manipulation can lead to improper a
- 7.5 High severity
starlette: Server-Side Request Forgery
Starlette is a lightweight ASGI framework/toolkit. In versions 1.0.1 and earlier, StaticFiles on Windows is vulnerable to SSRF. An UNC path such as \\attacker.com\share can cause os.path.realpath to initiate an outbound SMB connection before the path is reject
- 7.2 High severity
moby/v2/daemon: Uncontrolled Search Path Element
Moby is an open source container framework. In versions prior to 29.5.1 and in moby/moby v2 prior to v2.0.0-beta.14, when a compressed archive is uploaded to a container via `PUT /containers/{id}/archive` or piped through `docker cp -`, the daemon resolves dec
- 7.3 High severity
aiohttp: Deserialization of Untrusted Data
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.14.0, using ``CookieJar.load()`` with untrusted input may allow arbitrary code execution. Most applications using this function will be doing so with the user's
- 6.5 Medium severity
Kludex Starlette HTTP Request/Response Smuggling Exploited
Starlette is a lightweight ASGI framework/toolkit. Prior to version 1.0.1, the HTTP `Host` request header was not validated before being used to reconstruct `request.url`. Because the routing algorithm relies on the raw HTTP path while `request.url` is rebuilt
- 7.5 High severity
banks: Improper Neutralization of Special Elements Used in a Template Engine
Banks generates meaningful LLM prompts using a template language that makes sense. Prior to 2.4.2, banks uses jinja2.Environment() (unsandboxed) to render prompt templates. Applications that pass user-supplied strings as the template argument to Prompt() are v
- 8.8 High severity
litellm: Incorrect Authorization
LiteLLM prior to 1.83.10 allows a user to modify their own user_role via the /user/update endpoint. While the endpoint correctly restricts users to updating only their own account, it does not restrict which fields may be changed. A user who can reach this end
- 8.8 High severity
litellm: Incorrect Authorization
LiteLLM prior to 1.83.14 allows an authenticated internal_user to create API keys with access to routes that their role does not permit. When generating a key, the allowed_routes field is stored without verifying that the specified routes fall within the user'
- 7.5 High severity
python-multipart: Allocation of Resources Without Limits or Throttling
Python-Multipart is a streaming multipart parser for Python. Prior to 0.0.27, python-multipart has a denial of service vulnerability in multipart part header parsing. When parsing multipart/form-data, MultipartParser previously had no limit on the number of pa
- 7.5 High severity
urllib3: Improper Handling of Highly Compressed Data (Data Amplification)
urllib3 is an HTTP client library for Python. From 2.6.0 to before 2.7.0, urllib3 could decompress the whole response instead of the requested portion (1) during the second HTTPResponse.read(amt=N) call when the response was decompressed using the official Bro
- 8.8 High severity
BerriAI LiteLLM Command Injection Exploited
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. From version 1.74.2 to before version 1.83.7, two endpoints used to preview an MCP server before saving it — POST /mcp-rest/test/connection and POST /mcp-rest/test/tools/list
- 8.8 High severity
litellm: Improper Neutralization of Special Elements Used in a Template Engine
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template
- 9.8 Critical severity
pyopenssl: Buffer Copy without Checking Size of Input
pyOpenSSL is a Python wrapper around the OpenSSL library. Starting in version 22.0.0 and prior to version 26.0.0, if a user provided callback to `set_cookie_generate_callback` returned a cookie value greater than 256 bytes, pyOpenSSL would overflow an OpenSSL