Pillow Vulnerable to Write Buffer Overflow on BCn encoding
python-pillow · Pillow
Official source article: GitHub GHSA-XG8H-J46F-W952 ↗. Check the applicable product and release in the original source.
7.1HighCVSS 3.1
Recommended action
Within 7 days
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Published severityHigh→Operational priority:High, unchanged from published severity.unchanged
Evidence used
No CISA KEV confirmation is currently recorded.
A structured source references public exploit or proof-of-concept material.
Exploitation requires an existing local or physical foothold with privileges.
EPSS is 0.32% for the current model date.
Compensating controls
Validate the affected product branch and deploy the verified fixed release.
Restrict local access and enforce least privilege on affected hosts.
Increase monitoring for the attack path and post-exploitation behaviour described in the report.
Verification
Confirm that the asset runs python-pillow Pillow and falls inside the recorded affected range.
Verify the installed build against the product-specific fixed version after deployment.
Validate exposure, authentication requirements and compensating controls in the actual environment.
Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
Distribution package intelligence
Release-specific package status
Debian findings are scoped to the named distribution, release and source package. An absent finding does not mean a package is unaffected.
4 package states
Repository candidate not checked
A published vendor fix does not prove that a matching update is enabled and installable on a particular asset. Confirm the local package candidate before scheduling remediation.
Distribution release
Source package
Vendor state
Fixed version
Evidence
Debian trixietrixie · source
pillow
Not affectedDebian marks this release not affected (fixed-version marker 0).
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
Structured product status and remediation from the issuing vendor. Product-state explanations are always visible; large lists can be searched or downloaded.
The vendor explicitly identifies these products as affected by this CVE.
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed
rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server
rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server
rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI)
rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI)
Summary
A critical vulnerability was identified in the Pillow image processing library. This flaw could allow a local attacker to execute arbitrary code or cause the application to crash, resulting in a denial of service. An attacker can exploit this vulnerability by tricking an application into processing a specially crafted image file. The issue occurs because the library writes more data than an allocated memory buffer can hold, leading to memory corruption.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2025:15839
Optional official sources
National CERT insights ?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.
Choose official national sources for this report. Each advisory shows its original language. Your selection is remembered on this device and included in shared links.
Official European source
ENISA European Vulnerability Database
Official EUVD identifiers, advisory evidence and known-exploited context. Missing fields are not treated as evidence of low risk.
1 current
ENISA EUVD identifier
EUVD-2025-19662
No EUVD known-exploited evidence
ENISA has published the identifier mapping but no EUVD description has been stored yet.
EUVD state
Present in the current official mapping
Known exploitation
Not present in the current ENISA EUVD known-exploited dataset. This is not proof of no exploitation.
ENISA score
Not supplied in the stored EUVD record
Advisory evidence
No linked advisory details stored yet
Recommended actionWithin 7 days
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch available
01
What, why and how
Pillow is a Python imaging library. In versions 11.2.0 to before 11.3.0, there is a heap buffer overflow when writing a sufficiently large (>64k encoded with default settings) image in the DDS format due to writing into a buffer without checking for available space. This only affects users who save untrusted data as a compressed DDS image. This issue has been patched in version 11.3.0.
What
Pillow is a Python imaging library. In versions 11.2.0 to before 11.3.0, there is a heap buffer overflow when writing a sufficiently large (>64k encoded with default settings) image in the DDS format due to writing into a buffer without checking for available space. This only affects users who save untrusted data as a compressed DDS image. This issue has been patched in version 11.3.0.
Why
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
How
An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
What
Pillow is a Python imaging library. In versions 11.2.0 to before 11.3.0, there is a heap buffer overflow when writing a sufficiently large (>64k encoded with default settings) image in the DDS format due to writing into a buffer without checking for available space. This only affects users who save untrusted data as a compressed DDS image. This issue has been patched in version 11.3.0.
Why
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
How
An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
02
Exploit reality and attack path
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
Observed exploitation ?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.No confirmed evidence
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
Public PoC / exploit material ?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.Reference recorded
A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
Likely attack path
local access → Heap-based Buffer Overflow → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Local
Privileges required
Low: a basic authenticated account is required
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Unchanged: impact remains within the vulnerable component's security authority
Weakness ?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-122: Heap-based Buffer Overflow. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
CVSS vector ?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
Common Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
AVLocalAttack vector: The attacker needs local access to the vulnerable system.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.PRLowPrivileges required: The attacker needs basic user-level privileges.UINoneUser interaction: No action by another user is required.SUnchangedScope: The security impact remains within the vulnerable component's authority.CNoneConfidentiality impact: No direct loss is represented by this metric.IHighIntegrity impact: A successful attack can cause a major loss.AHighAvailability impact: A successful attack can cause a major loss.
Post-exploitation / living off the land
The issue can support a local privilege or sandbox boundary transition; normal system utilities may then be available in the gained context.
CWE-122Public exploit reference
A
Official authority intelligence
Only matched European and national findings are included. Language selectors and unavailable sources are omitted.
ENISA EUVD · EUVD-2025-19662Official EUVD mapping
0 linked advisory records.
Official EUVD record ↗Cyber Security Agency of Singapore · English · CSA-SB-20250702Security Bulletin 02 JUL 2025
The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 02 JUL 2025, published on 2 July 2025. Open the linked bulletin for the product, severity and reference information published in that issue.
Official advisory ↗JVN iPedia · Japanese · JVNDB-2025-016301Python Software Foundation の Python Pillow におけるヒープベースのバッファオーバーフローの脆弱性
Python Software Foundation の Python Pillow には、ヒープベースのバッファオーバーフローの脆弱性が存在します。
Operational remediation based on structured source evidence.
Status ?Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change.
Affected versionsThe structured affected or fixed version information changed.
Before
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI) · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:e683240d86973334e53882f4978b89b5c2a9f452b4080392c33b72bd57f91b63_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:a169a0d43b63280b9f43b99e6f9910cf0f404c7a9089d30dc06a0aa7fe747b8b_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:49cfb622a1dc03438e4683661257d8e178d32bf508cbf649ba4637b9a4b79180_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:0981388b134c612dde4275c1f9570d5cb684117ede06e12edbc021eb8e1529d2_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:e0f422a906d386596295e99b64c6158ae44b6b8a12be30868865e76742fccb17_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:4a40fcdfb64b4cec6dfb0d0ee5c475fc89124ce80d911dd85f5951238b6c980c_arm64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:539b3bb9fc9330fe7237b7292ce8b112a38dd22bfff9f090e82a518f9b2f2376_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:f34417c39c2f3b78f306d4249e892a9edf61f2a88bb18a3484c1df9716bdd324_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:2ec7df6d207c24989660f42e656340581fa488fed399ec343cda5b288f3f1f7c_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:89114d614ccbbbbd8a78d143fac90570ab81650ced7d4a9f39f7ba416113ae3b_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:f4e7a03db9b24711381b5e1279e19eadf6b7dd20510711a17212261fb67f3e11_arm64 as a component of Red Hat Enterprise Linux AI 1.5.1
After
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI) · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:e683240d86973334e53882f4978b89b5c2a9f452b4080392c33b72bd57f91b63_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:a169a0d43b63280b9f43b99e6f9910cf0f404c7a9089d30dc06a0aa7fe747b8b_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:49cfb622a1dc03438e4683661257d8e178d32bf508cbf649ba4637b9a4b79180_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:0981388b134c612dde4275c1f9570d5cb684117ede06e12edbc021eb8e1529d2_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:e0f422a906d386596295e99b64c6158ae44b6b8a12be30868865e76742fccb17_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:4a40fcdfb64b4cec6dfb0d0ee5c475fc89124ce80d911dd85f5951238b6c980c_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:539b3bb9fc9330fe7237b7292ce8b112a38dd22bfff9f090e82a518f9b2f2376_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:f34417c39c2f3b78f306d4249e892a9edf61f2a88bb18a3484c1df9716bdd324_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:2ec7df6d207c24989660f42e656340581fa488fed399ec343cda5b288f3f1f7c_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:89114d614ccbbbbd8a78d143fac90570ab81650ced7d4a9f39f7ba416113ae3b_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:f4e7a03db9b24711381b5e1279e19eadf6b7dd20510711a17212261fb67f3e11_arm64 as a component of Red Hat Enterprise Linux AI 1.5
Affected versionsThe structured affected or fixed version information changed.
Before
>= 11.2.0, < 11.3.0 · Fixed: An authoritative update reference is available, but the fixed version is not recorded in the structured CVE fields. Check the linked vendor advisory for the applicable release.
After
>= 11.2.0, < 11.3.0 · Fixed: For more information visit https://access.redhat.com/errata/RHSA-2025:15839
Affected versionsThe structured affected or fixed version information changed.
Before
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI) · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:e683240d86973334e53882f4978b89b5c2a9f452b4080392c33b72bd57f91b63_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:a169a0d43b63280b9f43b99e6f9910cf0f404c7a9089d30dc06a0aa7fe747b8b_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:49cfb622a1dc03438e4683661257d8e178d32bf508cbf649ba4637b9a4b79180_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:0981388b134c612dde4275c1f9570d5cb684117ede06e12edbc021eb8e1529d2_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:e0f422a906d386596295e99b64c6158ae44b6b8a12be30868865e76742fccb17_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:4a40fcdfb64b4cec6dfb0d0ee5c475fc89124ce80d911dd85f5951238b6c980c_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:539b3bb9fc9330fe7237b7292ce8b112a38dd22bfff9f090e82a518f9b2f2376_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:f34417c39c2f3b78f306d4249e892a9edf61f2a88bb18a3484c1df9716bdd324_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:2ec7df6d207c24989660f42e656340581fa488fed399ec343cda5b288f3f1f7c_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:89114d614ccbbbbd8a78d143fac90570ab81650ced7d4a9f39f7ba416113ae3b_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:f4e7a03db9b24711381b5e1279e19eadf6b7dd20510711a17212261fb67f3e11_arm64 as a component of Red Hat Enterprise Linux AI 1.5
After
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI) · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:e683240d86973334e53882f4978b89b5c2a9f452b4080392c33b72bd57f91b63_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:a169a0d43b63280b9f43b99e6f9910cf0f404c7a9089d30dc06a0aa7fe747b8b_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:49cfb622a1dc03438e4683661257d8e178d32bf508cbf649ba4637b9a4b79180_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:0981388b134c612dde4275c1f9570d5cb684117ede06e12edbc021eb8e1529d2_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:e0f422a906d386596295e99b64c6158ae44b6b8a12be30868865e76742fccb17_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:4a40fcdfb64b4cec6dfb0d0ee5c475fc89124ce80d911dd85f5951238b6c980c_arm64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:539b3bb9fc9330fe7237b7292ce8b112a38dd22bfff9f090e82a518f9b2f2376_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:f34417c39c2f3b78f306d4249e892a9edf61f2a88bb18a3484c1df9716bdd324_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:2ec7df6d207c24989660f42e656340581fa488fed399ec343cda5b288f3f1f7c_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:89114d614ccbbbbd8a78d143fac90570ab81650ced7d4a9f39f7ba416113ae3b_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:f4e7a03db9b24711381b5e1279e19eadf6b7dd20510711a17212261fb67f3e11_arm64 as a component of Red Hat Enterprise Linux AI 1.5.1
Affected versionsThe structured affected or fixed version information changed.
Before
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI) · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:e683240d86973334e53882f4978b89b5c2a9f452b4080392c33b72bd57f91b63_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:a169a0d43b63280b9f43b99e6f9910cf0f404c7a9089d30dc06a0aa7fe747b8b_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:49cfb622a1dc03438e4683661257d8e178d32bf508cbf649ba4637b9a4b79180_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:0981388b134c612dde4275c1f9570d5cb684117ede06e12edbc021eb8e1529d2_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:e0f422a906d386596295e99b64c6158ae44b6b8a12be30868865e76742fccb17_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:4a40fcdfb64b4cec6dfb0d0ee5c475fc89124ce80d911dd85f5951238b6c980c_arm64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:539b3bb9fc9330fe7237b7292ce8b112a38dd22bfff9f090e82a518f9b2f2376_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:f34417c39c2f3b78f306d4249e892a9edf61f2a88bb18a3484c1df9716bdd324_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:2ec7df6d207c24989660f42e656340581fa488fed399ec343cda5b288f3f1f7c_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:89114d614ccbbbbd8a78d143fac90570ab81650ced7d4a9f39f7ba416113ae3b_amd64 as a component of Red Hat Enterprise Linux AI 1.5.1; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:f4e7a03db9b24711381b5e1279e19eadf6b7dd20510711a17212261fb67f3e11_arm64 as a component of Red Hat Enterprise Linux AI 1.5.1
After
openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhelai1/knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-gemma-2-9b-it-fp8 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-lab-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-granite-3-1-8b-starter-v2-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-knowledge-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/prometheus-8x7b-v2-0 as a component of Red Hat Enterprise Linux AI (RHEL AI); rhelai1/skills-adapter-v3 as a component of Red Hat Enterprise Linux AI (RHEL AI) · Fixed: registry.redhat.io/rhelai1/bootc-amd-rhel9@sha256:e683240d86973334e53882f4978b89b5c2a9f452b4080392c33b72bd57f91b63_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-aws-nvidia-rhel9@sha256:a169a0d43b63280b9f43b99e6f9910cf0f404c7a9089d30dc06a0aa7fe747b8b_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-amd-rhel9@sha256:49cfb622a1dc03438e4683661257d8e178d32bf508cbf649ba4637b9a4b79180_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-azure-nvidia-rhel9@sha256:0981388b134c612dde4275c1f9570d5cb684117ede06e12edbc021eb8e1529d2_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-gcp-nvidia-rhel9@sha256:e0f422a906d386596295e99b64c6158ae44b6b8a12be30868865e76742fccb17_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:4a40fcdfb64b4cec6dfb0d0ee5c475fc89124ce80d911dd85f5951238b6c980c_arm64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/bootc-nvidia-rhel9@sha256:539b3bb9fc9330fe7237b7292ce8b112a38dd22bfff9f090e82a518f9b2f2376_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-amd-rhel9@sha256:f34417c39c2f3b78f306d4249e892a9edf61f2a88bb18a3484c1df9716bdd324_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-intel-rhel9@sha256:2ec7df6d207c24989660f42e656340581fa488fed399ec343cda5b288f3f1f7c_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:89114d614ccbbbbd8a78d143fac90570ab81650ced7d4a9f39f7ba416113ae3b_amd64 as a component of Red Hat Enterprise Linux AI 1.5; registry.redhat.io/rhelai1/instructlab-nvidia-rhel9@sha256:f4e7a03db9b24711381b5e1279e19eadf6b7dd20510711a17212261fb67f3e11_arm64 as a component of Red Hat Enterprise Linux AI 1.5
Technical terms and abbreviations used in this report
CVE
Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
CVSS
Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
EPSS
Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
CWE
Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
CNA
CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
CISA ADP
Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
NVD
National Vulnerability Database: NIST's enrichment service for CVE records.
CERT / CSIRT
A computer security incident response team that publishes warnings or coordinates incident response.
PoC
Proof of concept: public material that demonstrates or helps reproduce exploitation.
CSAF
Common Security Advisory Framework: a machine-readable format for security advisories.
LoTL
Living off the land: abuse of legitimate tools or system functions during an attack.
BlackTreeCVE Intelligence