RHSA-2026:62336
Vulnerability from csaf_redhat - Published: 2026-09-01 21:55 - Updated: 2026-09-03 20:12A flaw was found in AIOHTTP, an asynchronous HTTP client/server framework for asyncio and Python. An attacker could exploit this vulnerability by providing untrusted input to the `CookieJar.load()` function. This could potentially lead to arbitrary code execution, allowing the attacker to run malicious code on the affected system. This issue is most likely to occur in applications that allow attacker-controlled files to be loaded.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit an assert-based security check during activation function loading. By publishing a malicious HuggingFace model, an attacker can achieve arbitrary code execution on the server when vLLM runs in Python optimized mode.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in ip-address, a JavaScript library for parsing and manipulating IPv4 and IPv6 addresses. This vulnerability allows a remote attacker to perform cross-site scripting (XSS) by providing untrusted input to the Address6 constructor. When an application renders the output of Address6.group(), Address6.link(), or the AddressError.parseMessage as HTML without proper escaping, the attacker-controlled content can be executed in the user's browser.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). The revision pinning controls in vLLM do not consistently apply to all artifacts loaded for a model. This allows a deployment configured with specific revisions to still load dynamic code or other configuration files from an unpinned or default revision. This issue can lead to a supply-chain integrity compromise, where operators may unknowingly serve models with unreviewed or unintended behavior.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in vLLM. Integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels leads to partial tensor processing. This results in the output tensor retaining previously used GPU memory, which, in multi-tenant inference deployments, can expose sensitive tensor data from other users' requests. This constitutes an information disclosure vulnerability.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in Pillow prior to 12.3.0. When an uncompressed McIdas AREA image is loaded from a filename through the mmap raw codec path, attacker-controlled header words can set a row stride smaller than the natural row width. Pixel access such as Image.tobytes(), getpixel, convert, or save can then read beyond the mapped region, disclosing adjacent process memory or causing a fault.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — | ||
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
A flaw was found in Pillow, a Python imaging library. When processing a specially crafted font file, the library's font compilation function does not adequately check for excessive memory allocation. This oversight allows a remote attacker to trigger an unreasonable consumption of system memory, leading to a denial of service (DoS) for the application.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — | ||
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
A flaw was found in Pillow, a Python imaging library. This vulnerability allows a remote attacker to cause a Denial of Service (DoS) by providing a specially crafted BDF font file. The library's image processing function fails to properly validate dimensions from the font file, bypassing a critical security check designed to prevent excessive memory usage. This oversight can lead to the system consuming an unreasonable amount of memory, making it unavailable to legitimate users.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit this vulnerability by providing a specially crafted GD 2.x image file. The GdImageFile._open() function reads image dimensions without proper validation, leading to excessive memory allocation. This can result in a Denial of Service (DoS) due to C-heap exhaustion.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
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| Product | Identifier | Version | Remediation |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
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A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit a vulnerability in the library's image processing functions, specifically when handling image coordinates near certain limits. This flaw, a native heap out-of-bounds write, could lead to a denial of service (DoS), making the affected system or application unavailable.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
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| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit a vulnerability in the PdfParser.PdfStream.decode() function when processing a crafted FlateDecode PDF stream. By providing a specially designed PDF file, the attacker could cause the application to exhaust available memory, leading to a denial of service (DoS).
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit this vulnerability by providing a specially crafted JPEG2000 image file. Due to incorrect calculation of memory requirements for image tiles, processing this file can lead to excessive memory consumption, resulting in a denial of service (DoS) through out-of-memory failures.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
A flaw was found in Pillow, a Python imaging library. This vulnerability allows an attacker to trigger controlled native heap corruption by supplying an output image whose mode does not match the transform's declared output mode when using the ImageCms.ImageCmsTransform.apply API. This can lead to a denial of service (DoS) condition, making the affected system or application unavailable.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
A flaw was found in pyasn1, a generic ASN.1 library for Python. The Basic Encoding Rules (BER) decoder, used by CER and DER codecs, processes long-form tags by accumulating continuation octets without an upper bound. A remote attacker can exploit this by providing a specially crafted input, leading to the construction of an arbitrarily large integer. This can cause the CPU cost to grow quadratically, resulting in a Denial of Service (DoS) for any application decoding untrusted BER, CER, or DER input.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
Vendor Fix
fix
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
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|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
A flaw was found in pyasn1, a Python library for Abstract Syntax Notation One (ASN.1). The BER, CER, and DER decoders process OBJECT IDENTIFIER and RELATIVE-OID values in quadratic time relative to the number of arcs. A remote attacker could exploit this by providing a specially crafted payload containing an OID with many arcs, leading to excessive CPU consumption and a denial of service (DoS) in applications that decode untrusted ASN.1 data. The corresponding encoders also exhibit this quadratic behavior when re-encoding attacker-supplied values.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
A remote attacker can exploit this by providing specially crafted BER/CER/DER-encoded ASN.1 data with a large exponent in the REAL value. When the application subsequently prints, logs, compares, or performs arithmetic on the decoded value, this can cause excessive CPU and memory consumption, leading to a denial of service (DoS).
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64 | — |
Vendor Fix
fix
Workaround
|
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64 | — |
Workaround
|
|
| Unresolved product id: Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64 | — |
Workaround
|
{
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"details": "Important"
}
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"title": "aiohttp: AIOHTTP: Arbitrary code execution via untrusted input to CookieJar.load()"
},
{
"cve": "CVE-2026-41523",
"cwe": {
"id": "CWE-617",
"name": "Reachable Assertion"
},
"discovery_date": "2026-06-22T23:01:00.799590+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2491582"
}
],
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{
"category": "description",
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"title": "Vulnerability description"
},
{
"category": "summary",
"text": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "Red Hat rates this issue as having Important impact for Red Hat AI Inference Server and Red Hat OpenShift AI vLLM serving images, and Moderate impact for Red Hat Enterprise Linux AI bootc images that bundle vLLM. Exploitation requires loading an untrusted HuggingFace cross-encoder model while the vLLM process runs with Python optimized mode (python -O or PYTHONOPTIMIZE=1). Red Hat AI Inference Server 3.2/3.3 images and other components without the vulnerable pooler activation loader (vLLM \u003c 0.14.0) are not affected.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
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{
"category": "external",
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"title": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model"
},
{
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"cwe": {
"id": "CWE-79",
"name": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)"
},
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"ids": [
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{
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"title": "Vulnerability summary"
},
{
"category": "other",
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"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
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},
{
"cve": "CVE-2026-47155",
"cwe": {
"id": "CWE-829",
"name": "Inclusion of Functionality from Untrusted Control Sphere"
},
"discovery_date": "2026-06-22T23:00:54.705583+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2491580"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). The revision pinning controls in vLLM do not consistently apply to all artifacts loaded for a model. This allows a deployment configured with specific revisions to still load dynamic code or other configuration files from an unpinned or default revision. This issue can lead to a supply-chain integrity compromise, where operators may unknowingly serve models with unreviewed or unintended behavior.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "vllm: vLLM: Supply-chain integrity issue due to inconsistent revision pinning controls",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "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.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
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{
"category": "external",
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},
{
"category": "external",
"summary": "https://github.com/vllm-project/vllm/commit/d26a28ab033697f55a1414b5b0435de7cd6045b6",
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},
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"category": "workaround",
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"scores": [
{
"cvss_v3": {
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"attackVector": "NETWORK",
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"baseScore": 6.5,
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"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
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"version": "3.1"
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"title": "vllm: vLLM: Supply-chain integrity issue due to inconsistent revision pinning controls"
},
{
"cve": "CVE-2026-53923",
"cwe": {
"id": "CWE-824",
"name": "Access of Uninitialized Pointer"
},
"discovery_date": "2026-06-22T23:00:51.742636+00:00",
"ids": [
{
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"text": "2491579"
}
],
"notes": [
{
"category": "description",
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"title": "Vulnerability description"
},
{
"category": "summary",
"text": "vllm: vLLM: Information disclosure via integer truncation",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "Red Hat rates this issue as having Low impact for Red Hat AI products. The upstream issue is limited information disclosure via integer truncation in vLLM sampling parameters. Red Hat OpenShift AI, Red Hat AI Inference Server, and Red Hat Enterprise Linux AI images are not considered affected because untrusted clients cannot control the vulnerable parameters in supported deployment models.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
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},
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{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-59886",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59886"
},
{
"category": "external",
"summary": "https://github.com/pyasn1/pyasn1/commit/e60c691cb91addb8fcefa2f537e85ede6fb1e886",
"url": "https://github.com/pyasn1/pyasn1/commit/e60c691cb91addb8fcefa2f537e85ede6fb1e886"
},
{
"category": "external",
"summary": "https://github.com/pyasn1/pyasn1/releases/tag/v0.6.4",
"url": "https://github.com/pyasn1/pyasn1/releases/tag/v0.6.4"
},
{
"category": "external",
"summary": "https://github.com/pyasn1/pyasn1/security/advisories/GHSA-hm4w-wwcw-mr6r",
"url": "https://github.com/pyasn1/pyasn1/security/advisories/GHSA-hm4w-wwcw-mr6r"
}
],
"release_date": "2026-07-14T16:38:29.691000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-09-01T21:55:16+00:00",
"details": "The container images provided by this update can be downloaded from the Red Hat container registry at registry.redhat.io using the \"podman pull\" command.\n\nFor details on deploying and configuring RHEL AI, see the Red Hat Enterprise Linux AI documentation at https://docs.redhat.com/en/documentation/red_hat_enterprise_linux_ai/3.3",
"product_ids": [
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:62336"
},
{
"category": "workaround",
"details": "When processing untrusted ASN.1 data with pyasn1, avoid calling prettyPrint(), str(), float(), int(), or performing comparisons or arithmetic on decoded Real (ASN.1 REAL type) objects. Instead, inspect the raw (mantissa, base, exponent) tuple directly. Where logging decoded ASN.1 structures is necessary, filter out or sanitize Real-typed values before conversion.",
"product_ids": [
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9@sha256:db445687f68381ba4348925b32b7782fb3424eefd0a6e58e200a9ad69685551a_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9@sha256:82f19ded4eab2cd19f81187b2318897daa180a0edf04eaed9b45c3d9d27b2fe5_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9@sha256:e78b6e0cc5eeb8a46beda69660499f08322fa0d59d382dcd1349af2a0e96e352_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:5f4fc4b62366cd6599d914e31b51a35f7072ea4f5aaae077769b69a0c4cde849_arm64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-cuda-rhel9@sha256:6689af3952e683d9a963a884b3b35979483560e6610fea0ccdda20d14ca51dee_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9@sha256:7a63d3116445dfc773d9b004b4c31e2f3ee7ef244a783c2e3d16582e285b35e5_amd64",
"Red Hat Enterprise Linux AI 3.3:registry.redhat.io/rhelai3/bootc-rocm-rhel9@sha256:baba8ef26e81ee1cb529c894b5f0587588537de87d3a29267fc243812c29fa5a_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "pyasn1: pyasn1: Denial of Service via crafted ASN.1 REAL values"
}
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.