Red Hat Linux Red Hat Enterprise Linux Vulnerabilities & Security Advisories
1217 advisories tracked · Red Hat Security Data API · 3 listed in the CISA Known Exploited Vulnerabilities catalog
Every row below is a published Red Hat Linux advisory that VulniPulse classified as Red Hat Enterprise Linux, with the CVEs, affected and fixed releases and exploitation status the vendor stated. Severity mix: 31 critical, 792 high, 374 medium, 17 low.
Android app · Google Play
Monitor Linux CVEs from your phone.
Choose a whole vendor or a precise platform, then receive matching security advisories by phone notification, email, or both. Coverage follows 32 official vendor sources and 160+ reviewed platform categories.
Source
Red Hat Security Data API
Red Hat Enterprise Linux errata (RHSA) via the official Red Hat Security Data API — CVE severity, CVSS and affected packages. A credential-free official source.
Latest Linux Red Hat Enterprise Linux advisories
Low [CVE-2026-56376] Denial of Service via heap use-after-free vulnerability
ImageMagick before 7.1.2-15 and 6.9.13-40 contains a heap use-after-free in the meta coder: when memory allocation fails, a single byte is written to a stale pointer. Remote attackers can trigger it by processing specially crafted image files, causing a denial of service. A flaw was found in ImageMagick. This ImageMagick flaw is rated as Low impact. The impact is limited to availability, and the attack requires specific conditions, making successful exploitation less probable in typical Red Hat deployments unless processing untrusted images. Red Hat severity: Low — CVSS 3.7 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L). Weakness: CWE-825. Affected Red Hat products: Red Hat Enterprise Linux 6; Red Hat Enterprise Linux 7. Will not fix / out of support: Red Hat Enterprise Linux 6; Red Hat Enterprise Linux 7. Red Hat does not currently list a fixing RHSA for this CVE.
High [CVE-2026-48712] Denial of Service via uncontrolled recursion with crafted protobuf payload
protobufjs compiles protobuf definitions into JavaScript (JS) functions. Prior to 7.6.1 and 8.4.1, protobufjs could recurse without a depth limit while converting decoded messages to plain objects or JSON. This affected generated toObject() conversion and the custom google.protobuf. Any JSON conversion path. This vulnerability is fixed in 7.6.1 and 8.4.1. A flaw was found in protobufjs. This uncontrolled recursion could exhaust the JavaScript call stack during conversion to JSON, leading to a Denial of Service (DoS). Red Hat rates this issue as having Low impact for Red Hat Enterprise Linux AI bootc images. Although protobufjs is present as a transitive dependency, the vulnerable parsing path is not exercised in normal product operation. Red Hat severity: Moderate — CVSS 7.5 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-606. Affected Red Hat products: Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI).
Medium [CVE-2026-55655] Local MITM of X11 forwarding via abstract UNIX socket pre-binding in Red Hat Enterprise Linux OpenSSH client versions
A flaw was found in OpenSSH. A local unprivileged attacker on a Linux client host can hijack client-side X11 forwarding connections. This is possible by pre-binding the preferred abstract X socket name when X11 forwarding is enabled and a local UNIX-domain X socket is used. A successful attack can compromise the confidentiality of forwarded X11 traffic, including sensitive window contents and input, and may allow some manipulation of the forwarded session. This is a Moderate severity flaw. The OpenSSH client in Red Hat Enterprise Linux is vulnerable to a local man-in-the-middle attack on X11 forwarding connections. Exploitation requires an attacker to have local unprivileged access on the client system and for X11 forwarding to be explicitly enabled and in use, which is not a default configuration. This vulnerability doesn't affect the upstream OpenSSH versions and is restricted to the versions as shipped with Red Hat Enterprise Linux. Red Hat severity: Moderate — CVSS 5 (CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:N). Weakness: CWE-923. Affected Red Hat products: Red Hat Hardened Images; Red Hat Enterprise Linux 10; Red Hat Enterprise Linux 6; Red Hat Enterprise Linux 7; Red Hat Enterprise Linux 8; Red Hat Enterprise Linux 9. Under investigation: Red Hat OpenShift Container Platform 4. Red Hat fixing advisory: RHSA-2026:36759.
Medium [CVE-2026-55653] Double free in Red Hat Enterprise Linux versions of OpenSSH DH-GEX client path during FIPS known-group validation leads to client-side denial of service
A flaw was found in OpenSSH. A malicious SSH server can exploit a double free vulnerability in the Diffie-Hellman Group Exchange (DH-GEX) client path. This occurs during FIPS (Federal Information Processing Standards) mode known-group validation when the client processes attacker-controlled DH-GEX group parameters. Successful exploitation leads to client-side process termination, resulting in a Denial of Service (DoS). This Moderate flaw in OpenSSH affects clients operating in FIPS mode when negotiating Diffie-Hellman Group Exchange (DH-GEX) with a malicious SSH server. While it can lead to client process termination, resulting in a denial of service, the impact is limited to availability and does not result in broader system compromise. In order to exploit this vulnerability the attacker needs to trick the user to connect to an untrusted malicious server or compromise the server first. The availability impact is considered Low as the only impacted process is the single run of the SSH client trying to connect to the malicious server. This vulnerability affects only the OpenSSH versions shipped with Red Hat products. Red Hat severity: Moderate — CVSS 4.3 (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L). Weakness: CWE-415.
Medium [CVE-2026-47155] Supply-chain integrity issue due to inconsistent revision pinning controls
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0. This issue can lead to a supply-chain integrity compromise, where operators may unknowingly serve models with unreviewed or unintended behavior. Red Hat rates this issue as having Moderate impact. The flaw is a supply-chain integrity issue when operators pin a HuggingFace model revision but vLLM may still load nested artifacts from an unpinned revision. It affects Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI images that ship vLLM versions prior to 0.22.0. KServe control-plane components that bundle vLLM as a library are not affected. Red Hat severity: Moderate — CVSS 6.5 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N). Weakness: CWE-829.
Medium [CVE-2026-54232] Arbitrary code execution via dependency confusion during Docker build
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1. CVE-2026-54232 is a build-time dependency confusion issue in upstream vLLM Dockerfiles before 0.22.1. It does not allow remote exploitation of a running vLLM inference service. Red Hat OpenShift AI is not affected. Red Hat AI Inference Server and RHEL AI CUDA images that include flashinfer-jit-cache are in scope for build-process review, but Red Hat has no evidence that shipped images were compromised. Red Hat severity: Moderate — CVSS 5.7 (CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:N). Weakness: CWE-426. Affected Red Hat products: Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3.
Medium [CVE-2026-54233] Denial of Service via excessive memory allocation in audio transcription
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0. A remote attacker could exploit a vulnerability in the `/v1/audio/transcriptions` endpoint. By uploading a specially crafted compressed audio file, such as an OPUS file, the attacker could cause the system to allocate an excessive amount of memory during the decoding process. This uncontrolled memory allocation can lead to a Denial of Service (DoS) condition, making the service unavailable to legitimate users. Red Hat rates this issue as having Moderate impact. A crafted audio upload to the vLLM /v1/audio/transcriptions endpoint can cause excessive decoded PCM allocation and denial of service. Affected components are vLLM serving images in Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI bootc that ship vLLM prior to 0.23.1. KServe sidecars are not affected. Red Hat severity: Moderate — CVSS 6.5 (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-770. Red Hat lists Red Hat OpenShift AI (RHOAI) as not affected. Red Hat does not currently list a fixing RHSA for this CVE.
Medium [CVE-2026-54236] Information Disclosure via Incomplete Error Message Sanitization
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.
Medium [CVE-2026-54235] Denial of Service due to improper floating-point validation
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators ( ), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0. This could allow an attacker to cause a Denial of Service (DoS) by providing specially crafted input. This Moderate impact flaw in vLLM, as used in Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI, allows for a denial of service. Improper validation of floating-point values like Not-a-Number (NaN) or positive Infinity in temperature parameters can bypass security checks, leading to undefined behavior or CUDA errors that crash the inference worker. This could be exploited by providing specially crafted input to the LLM inference engine. Red Hat severity: Moderate — CVSS 6.5 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L). Weakness: CWE-1287. Affected Red Hat products: Red Hat AI Inference Server 3.2; Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI). Red Hat lists Red Hat OpenShift AI (RHOAI) as not affected.
Medium [CVE-2026-44889] Open Redirect vulnerability via HTTP Location header normalization
WebOb provides objects for HTTP requests and responses. Prior to 1.8.10, the normalization of the HTTP Location header during a redirect is vulnerable to an open redirect: WebOb joins the redirect target to the request URI using Python's urljoin, and since Python 3.10 the underlying urlsplit strips ASCII tab, carriage return, and newline characters before parsing, so a redirect target containing such characters can be reinterpreted as a protocol-relative URL whose authority is an attacker-controlled host. This bypasses the CVE-2024-42353 fix that escaped a leading double slash, allowing an attacker who influences the redirect location to send users to an arbitrary external site instead of the intended one. This vulnerability is fixed in 1.8.10. Due to improper normalization of the Location header, specifically how certain ASCII characters are handled, an attacker can cause a user to be redirected to an arbitrary external website instead of the intended destination. This open redirect vulnerability can lead to information disclosure and impact the integrity of user sessions. This is rated as Moderate (CVSS 6.1) because exploitation requires user interaction — a victim must click a crafted link that triggers the redirect (UI:R). Affected product named by the advisory: Red Hat Enterprise Linux 6.
Medium [CVE-2026-54651] Denial of Service via crafted PDF
pypdf is a free and open-source pure-python PDF library. Prior to 6.13.1, an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This requires merging a file with threads/articles into a writer. This vulnerability is fixed in 6.13.1. A flaw was found in pypdf. This vulnerability can result in a Denial of Service (DoS) condition, making the affected system unresponsive. Red Hat rates this issue as Moderate severity (CVSS 5.9) because exploitation requires a specially crafted PDF containing thread/article objects to be processed by pypdf's merge functionality. Weakness: CWE-835. Affected Red Hat products: Exploit Intelligence; OpenShift Lightspeed; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI); Red Hat Quay 3. Red Hat does not currently list a fixing RHSA for this CVE.
Medium [CVE-2026-49461] Denial of Service via crafted PDF with self-referencing form XObject
pypdf is a free and open-source pure-python PDF library. Prior to 6.12.2, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting the text of a page which contains a form XObject with self-references. This vulnerability is fixed in 6.12.2. A flaw was found in pypdf. An attacker can craft a malicious PDF document containing a form XObject with self-references. When a user attempts to extract text from a page within this crafted PDF, it can lead to excessive memory consumption. This vulnerability may result in a Denial of Service (DoS) due to resource exhaustion. Moderate: A flaw in pypdf and python-PyPDF2 can lead to a denial of service due to excessive memory consumption. This occurs when processing a specially crafted PDF document containing self-referencing form XObjects during text extraction. The vulnerability requires user interaction to trigger the text extraction process. Red Hat severity: Moderate — CVSS 5.5 (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H). Weakness: CWE-835. Affected Red Hat products: Exploit Intelligence; OpenShift Lightspeed; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI); Red Hat Quay 3. Red Hat does not currently list a fixing RHSA for this CVE.
Medium [CVE-2026-54530] Denial of Service via crafted PDF processing
pypdf is a free and open-source pure-python PDF library. Prior to 6.13.0, an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This requires extracting the text in layout mode. This vulnerability is fixed in 6.13.0. This vulnerability results in a Denial of Service (DoS), making the affected system unresponsive. This Moderate impact flaw in pypdf affects Red Hat products that process untrusted PDF files and extract text in layout mode. An attacker could provide a specially crafted PDF, leading to an infinite loop and a Denial of Service. The vulnerability requires specific processing conditions, contributing to its Moderate severity. Affected method: extract_text(extraction_mode="layout") Red Hat severity: Moderate — CVSS 5.9 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-835. Affected Red Hat products: Exploit Intelligence; OpenShift Lightspeed; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI); Red Hat Quay 3. Red Hat does not currently list a fixing RHSA for this CVE.
Medium [CVE-2026-47240] Net::IMAP: Command injection via non-synchronizing literals
Net::IMAP implements Internet Message Access Protocol (IMAP) client functionality in Ruby. Prior to 0.6.5 and 0.5.15, several Net::IMAP commands accept a "raw data" argument that is sent verbatim after validation to prevent command injection. However, if a server does not support non-synchronizing literals, it may still be possible to inject arbitrary IMAP commands inside non-synchronizing literals. A server without support for non-synchronizing literals may interpret the "+}\r\n" as the end of a malformed command line and respond with a tagged BAD. In that case, the contents of the literal will be interpreted as one or more new pipelined commands, allowing a CRLF command injection attack to succeed. This affects criteria for #search and #uid_search; search_keys for #sort, #thread, #uid_sort, and #uid_thread; and attr for #fetch and #uid_fetch. This vulnerability is fixed in 0.6.5 and 0.5.15. This command injection could enable unauthorized actions on the IMAP server. This Moderate flaw in the Net::IMAP Ruby library allows for command injection against IMAP servers that lack support for non-synchronizing literals. An attacker could exploit this by providing specially crafted input, leading to the execution of arbitrary IMAP commands and potential unauthorized actions.
Medium [CVE-2026-54273] Denial of Service via excessive pipelined requests
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.1, no limit was present on the number of pipelined requests that could be queued. An attacker may be able to use pipelined requests to use excessive amounts of memory, potentially leading to DoS. This vulnerability is fixed in 3.14.1. An attacker could exploit this vulnerability by sending an unlimited number of pipelined requests, causing the system to consume excessive amounts of memory. This could lead to a Denial of Service (DoS), making the affected system unavailable to legitimate users. This vulnerability is rated Moderate because an unauthenticated remote attacker can trigger denial of service against an affected aiohttp HTTP/1 server by sending a large number of pipelined requests, causing excessive memory consumption. Exploitation requires aiohttp to be deployed as an HTTP/1 server that accepts pipelined requests from untrusted clients. Many Red Hat products ship aiohttp as a bundled dependency for client libraries, internal automation, or services that do not expose this server behavior to untrusted users. In those configurations, practical risk may be lower, but affected packages should still be updated to aiohttp 3.14.1 or later when fixes are released. Red Hat severity: Moderate — CVSS 5.9 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-770.
Medium [CVE-2026-54278] Denial of Service due to excessive memory consumption from compressed request body
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.1, during cleanup it is possible for a compressed request body to be decompressed into memory in one chunk. An attacker may be able to send a compressed payload in specific situations that could be decompressed into memory, potentially leading to DoS (a zip bomb edge case). This vulnerability is fixed in 3.14.1. This could potentially lead to a Denial of Service (DoS) condition, where the affected system becomes unresponsive or unavailable. Exploitation requires aiohttp deployed as a network-facing HTTP server that accepts compressed request bodies. Many Red Hat products ship aiohttp as a bundled dependency for client libraries, internal automation, or services that do not expose this server path to untrusted users. In those configurations, practical risk may be lower, but affected packages should still be updated to aiohttp 3.14.1 or later when fixes are released. Red Hat severity: Moderate — CVSS 5.9 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-409. Affected products named by the advisory: Exploit Intelligence; Migration Toolkit for Applications 8; OpenShift Lightspeed; Red Hat AI Inference Server; and 6 more.
Medium [CVE-2026-54277] Denial of Service via oversized HTTP request lines bypassing max_line_size check
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.1, it is possible to bypass the max_line_size check in parts of an HTTP request in the C parser. If using the optimised C parser (the default in pre-built wheels), then an attacker may be able to send oversized lines through the HTTP parser and use an excessive amount of memory, potentially leading to DoS. This vulnerability is fixed in 3.14.1. A remote attacker can exploit this vulnerability by sending oversized lines within an HTTP request. This bypasses the max_line_size check in the C parser, causing the system to use an excessive amount of memory. This can lead to a Denial of Service (DoS) condition, making the affected system unavailable. Exploitation requires aiohttp to be deployed as a network-facing HTTP server using the optimised C parser (the default in pre-built wheels). Many Red Hat products ship aiohttp as a bundled dependency for client libraries, internal automation, or services that do not expose this server/parser path to untrusted users. In those configurations, practical risk may be lower, but affected packages should still be updated to aiohttp 3.14.1 or later when fixes are released. Red Hat severity: Moderate — CVSS 5.9 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-131.
Medium [CVE-2026-54275] TLS SNI check bypass via connection reuse
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.1, the server_hostname TLS SNI check can be bypassed when an existing connection is reused. This vulnerability is fixed in 3.14.1. This vulnerability allows a remote attacker to bypass the Transport Layer Security (TLS) Server Name Indication (SNI) check. This occurs when an application reuses an existing connection for multiple requests to the same domain but with different server_hostname parameters. Consequently, later requests may succeed by reusing the existing connection, even if they should have been rejected due to the TLS SNI check, potentially leading to unintended information disclosure or integrity issues. Exploitation requires an application using aiohttp as an HTTPS client with connection pooling enabled, issuing multiple requests to the same host with differing server_hostname overrides. Many Red Hat products ship aiohttp as a bundled dependency without this usage pattern. Affected packages should still be updated to aiohttp 3.14.1 or later when fixes are released. Red Hat severity: Moderate — CVSS 4.8 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N). Weakness: CWE-367. Affected products named by the advisory: Exploit Intelligence; Migration Toolkit for Applications 8; OpenShift Lightspeed; Red Hat AI Inference Server; and 6 more.
Medium [CVE-2026-54274] Denial of Service via incomplete websocket frame payloads
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.1, if an attacker sends large incomplete websocket frame payloads, it may be possible to bypass the usual size limits on memory use. This vulnerability is fixed in 3.14.1. This can bypass normal memory usage limits, potentially leading to a Denial of Service (DoS) where the affected system becomes unavailable. Exploitation requires aiohttp deployed as a network-facing HTTP server that exposes WebSocket endpoints to untrusted clients. Many Red Hat products ship aiohttp as a bundled dependency for client libraries, internal automation, or services that do not expose WebSocket listeners to untrusted users. In those configurations, practical risk may be lower, but affected packages should still be updated to aiohttp 3.14.1 or later when fixes are released. Red Hat severity: Moderate — CVSS 5.9 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-770. Affected Red Hat products: Exploit Intelligence; Migration Toolkit for Applications 8; OpenShift Lightspeed; Red Hat AI Inference Server; Red Hat Ansible Automation Platform 2; Red Hat Ansible Automation Platform Ansible Core 2; Red Hat Discovery 2; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI); Red Hat Satellite 6.
Medium [CVE-2026-50269] CRLF injection in multipart headers
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.0, attacker-controlled input included into multipart/payload headers can be used to modify a request to inject additional headers or similar. In the unlikely situation that an application is passing user-controlled strings into MultipartWriter.append(headers=...) or Payload.headers, then an attacker may be able to modify the request to inject headers or change the contents of the request. This vulnerability is fixed in 3.14.0. This vulnerability, known as CRLF (Carriage Return Line Feed) injection, allows an attacker to modify HTTP requests by injecting malicious input into multipart or payload headers. If an application processes user-controlled data in these headers, an attacker could potentially alter the request's content or inject new headers, leading to unintended application behavior. This Low impact flaw in aiohttp arises from CRLF injection when applications pass untrusted, attacker-controlled input directly into `MultipartWriter.append(headers=...)` or `Payload.headers`. Exploitation is unlikely in typical Red Hat deployments unless custom applications are specifically configured to include unvalidated user input in these HTTP multipart or payload headers, potentially allowing an attacker to inject arbitrary HTTP headers.