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Full vulnerability report · 2026
CVE-2026-78677High confidence

GitPython before 3.1.59 Path Traversal via separate-git-dir

gitpython-developers · GitPython

Official source article: GitHub GHSA-8MCC-HRX5-HVXC ↗. Check the applicable product and release in the original source.

8.7HighCVSS 4.0
Recommended action
Patch only the product branches with a verified fix

High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance. Verified remediation exists for at least one product or source, but 64 structured product or package states remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Fix availability varies by product
R
Operational reassessment

Published severity in operational context

Open reassessment dashboard →
Published severityHighOperational priority:Critical, raised one band.upgradedsince 25 Aug 2026

Evidence used

  • No CISA KEV confirmation is currently recorded.
  • A structured source references public exploit or proof-of-concept material.
  • The selected CVSS metric records a network-reachable, unauthenticated path with no user interaction.
  • EPSS is 0.65% for the current model date.

Compensating controls

  • Validate the affected product branch and deploy the verified fixed release.
  • Restrict the affected network interface to trusted sources where business-safe.
  • Increase monitoring for the attack path and post-exploitation behaviour described in the report.

Verification

  1. Confirm that the asset runs gitpython-developers GitPython and falls inside the recorded affected range.
  2. Verify the installed build against the product-specific fixed version after deployment.
  3. Validate exposure, authentication requirements and compensating controls in the actual environment.
  4. Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
Mitigation target: Within 3 daysRemediation target: Within 90 days

This automated reassessment organises public evidence. It does not know asset exposure, business impact or control effectiveness and does not replace CVSS or a human risk decision.

Cross-source reconciliation

Remediation availability differs by product scope

Verified remediation exists for at least one product or source, but 64 structured product or package states remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

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
Package result overrides the generic status

BlackTree has verified remediation for at least one product or source, but the relevant distribution still reports no fixed package for 2 affected package states shown here. Treat those rows as affected with no fix until that distribution publishes a fixed version.

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 releaseSource packageVendor stateFixed versionEvidence
Debian trixietrixie · sourcepython-gitAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 5 Oct 2026
Debian bookwormbookworm · sourcepython-gitAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 5 Oct 2026
Debian forkyforky · sourcepython-gitVendor fix publishedDebian records a fixed source-package version for this release.3.1.61-1Debian Security Tracker ↗Source updated 5 Oct 2026
Debian sidsid · sourcepython-gitVendor fix publishedDebian records a fixed source-package version for this release.3.1.61-1Debian Security Tracker ↗Source updated 5 Oct 2026
Open-source package ranges1 source-attributed range

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.

Ecosystem and packageAffected rangeFirst fixed versionEvidence
pipGitPython<= 3.1.583.1.59GitHub advisory ↗upstream repository advisory · 8 Sep 2026
Direct vendor intelligence

Authoritative vendor CSAF and VEX advisories

Structured product status and remediation from the issuing vendor. Product-state explanations are always visible; large lists can be searched or downloaded.

2 current
CVE-2026-78677 · CSAF 2.0 · revision 3 · finalRed Hat Product SecurityGitPython: GitPython: Arbitrary Code Execution via Path Traversal
62 known affected

The vendor explicitly identifies these products as affected by this CVE.

  • exploit-intelligence/vulnerability-analysis-rhel9 as a component of Exploit Intelligence
  • mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8
  • rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server
  • ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-26/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-27/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-27/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2
  • automation-controller.src as a component of Red Hat Ansible Automation Platform 2
Summary
A flaw was found in GitPython. This vulnerability allows a remote attacker to create arbitrary Git directories outside the intended clone destination. By manipulating the `separate_git_dir` parameter during repository cloning, an attacker can redirect repository metadata to an attacker-controlled filesystem path. This could lead to arbitrary directory creation and potentially enable the execution of malicious code through Git hooks.
Remediation
To mitigate this vulnerability, upgrade to GitPython version 3.1.59 or later, which correctly includes `--separate-git-dir` in the unsafe options denylist. If upgrading is not immediately possible, ensure that the `separate_git_dir` parameter is never populated from untrusted or user-controlled sources. Applications should validate and sanitize any input before passing it to GitPython cloning methods, or avoid exposing the `separate_git_dir` parameter to external callers entirely.
CVE-2026-78677 · CSAF 2.0 · revision 4 · interimSUSE Product Security TeamCVE-2026-78677
5 known affected

The vendor explicitly identifies these products as affected by this CVE.

  • python-GitPython as component of SUSE Linux Enterprise Server 16.0
  • python313-GitPython as component of SUSE Linux Enterprise Server 16.0
  • python-GitPython as component of SUSE Linux Enterprise Server for SAP applications 16.0
  • python313-GitPython as component of SUSE Linux Enterprise Server for SAP applications 16.0
  • python-GitPython as component of openSUSE Leap 16.0
Summary
GitPython before 3.1.59 omits --separate-git-dir from unsafe_git_clone_options, allowing attackers to create arbitrary git directories outside the intended clone destination. Attackers can pass a separate_git_dir parameter to Repo.clone_from() or Repo.clone() to redirect repository metadata to an attacker-controlled filesystem path, enabling arbitrary directory creation and potential hook execution.
Remediation
To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or "zypper patch".
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-2026-65223

No EUVD known-exploited evidence

GitPython: clone_from()/clone() omit --separate-git-dir from unsafe_git_clone_options, enabling arbitrary git-directory creation outside the destination

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
8.7 · CVSS 4.0
Advisory evidence
No linked advisory details stored yet
Recommended actionPatch only the product branches with a verified fix

High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance. Verified remediation exists for at least one product or source, but 64 structured product or package states remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Fix availability varies by product
01

What, why and how

GitPython before 3.1.59 omits --separate-git-dir from unsafe_git_clone_options, allowing attackers to create arbitrary git directories outside the intended clone destination. Attackers can pass a separate_git_dir parameter to Repo.clone_from() or Repo.clone() to redirect repository metadata to an attacker-controlled filesystem path, enabling arbitrary directory creation and potential hook execution.

What

GitPython before 3.1.59 omits --separate-git-dir from unsafe_git_clone_options, allowing attackers to create arbitrary git directories outside the intended clone destination. Attackers can pass a separate_git_dir parameter to Repo.clone_from() or Repo.clone() to redirect repository metadata to an attacker-controlled filesystem path, enabling arbitrary directory creation and potential hook execution.

Why

Attacker-controlled path data is not constrained to the intended directory before the application accesses a file.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.

What

GitPython before 3.1.59 omits --separate-git-dir from unsafe_git_clone_options, allowing attackers to create arbitrary git directories outside the intended clone destination. Attackers can pass a separate_git_dir parameter to Repo.clone_from() or Repo.clone() to redirect repository metadata to an attacker-controlled filesystem path, enabling arbitrary directory creation and potential hook execution.

Why

Attacker-controlled path data is not constrained to the intended directory before the application accesses a file.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. 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
a network path → Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Not a CVSS 4.0 base metric
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-22 ↗

CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal'). The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Common Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.

AVNetworkAttack vector: The vulnerable component can be reached over a network.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.ATNoneAttack requirements: No additional deployment or execution condition is required.PRNonePrivileges required: The attacker does not need an account or existing privileges.UINoneUser interaction: No action by another user is required.VCHighVulnerable-system confidentiality: A successful attack can cause a major loss.VINoneVulnerable-system integrity: No direct loss is represented by this metric.VANoneVulnerable-system availability: No direct loss is represented by this metric.SCNoneSubsequent-system confidentiality: No direct loss is represented by this metric.SINoneSubsequent-system integrity: No direct loss is represented by this metric.SANoneSubsequent-system availability: No direct loss is represented by this metric.
Post-exploitation / living off the land
No specific living-off-the-land technique is confirmed in the structured sources. Monitor normal administration tools for activity inconsistent with the affected service's baseline.
NetworkUnauthenticatedCWE-22Public exploit reference
A

Official authority intelligence

Only matched European and national findings are included. Language selectors and unavailable sources are omitted.

ENISA EUVD · EUVD-2026-65223Official EUVD mapping

GitPython: clone_from()/clone() omit --separate-git-dir from unsafe_git_clone_options, enabling arbitrary git-directory creation outside the destination

Official EUVD record ↗
JVN iPedia · Japanese · JVNDB-2026-031626gitpython projectのgitpythonにおけるパストラバーサルの脆弱性

GitPython 3.1.59以前のバージョンでは、unsafe_git_clone_optionsに--separate-git-dirが省略されており、攻撃者が意図したクローン先の外部に任意のgitディレクトリを作成できる可能性があります。攻撃者はRepo.clone_from()またはRepo.clone()にseparate_git_dirパラメータを渡すことで、リポジトリのメタデータを攻撃者が制御するファイルシステムのパスへリダイレクトし、その結果、任意のディレクトリを作成し、フックを実行することが可能となります。

Official advisory ↗
03

Patch and workaround

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.
Fix availability varies by product
Affected
Fixed
GitPython: 3.1.59
Action
Use the product-specific evidence above. Patch only products with a verified fixed release, and keep every affected or under-investigation state without a matching fix in the remediation queue.
Workaround
To mitigate this vulnerability, upgrade to GitPython version 3.1.59 or later, which correctly includes `--separate-git-dir` in the unsafe options denylist. If upgrading is not immediately possible, ensure that the `separate_git_dir` parameter is never populated from untrusted or user-controlled sources. Applications should validate and sanitize any input before passing it to GitPython cloning methods, or avoid exposing the `separate_git_dir` parameter to external callers entirely.
Official vendor articles1 stored document

Linked articles are downloaded and versioned as source evidence. A CVE mention or approved update relationship does not, by itself, verify a fix for every product branch.

04

Evidence and provenance

Published 25 Aug 2026 · Last source change 25 Aug 2026, 15:24 UTC · CWE-22 · Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

CVE recordCVE.org · 5.2
CVSS sourceCNA
EPSS source
?The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.
FIRST · tracked since 2026-08-25
European sourceENISA EUVD · EUVD-2026-65223
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD enriched

Core structured fields are present and their contributing authorities are shown above.

Material change intelligence

What changed after publication

View recent updates ↗
  1. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; automation-controller.src as a component of Red Hat Ansible Automation Platform 2; python-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3.11-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3.12-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3x-gitpython.src as a component of Red Hat Ansible Automation Platform 2; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/disk-image-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-mlflow-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 35 more
    After
    exploit-intelligence/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; automation-controller.src as a component of Red Hat Ansible Automation Platform 2; python3.12-gitpython.src as a component of Red Hat Ansible Automation Platform 2; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/disk-image-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-mlflow-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cpu-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 32 more
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; automation-controller.src as a component of Red Hat Ansible Automation Platform 2; python-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3.11-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3.12-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3x-gitpython.src as a component of Red Hat Ansible Automation Platform 2; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/disk-image-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-mlflow-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 36 more
    After
    exploit-intelligence/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/controller-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/hub-rhel9 as a component of Red Hat Ansible Automation Platform 2; automation-controller.src as a component of Red Hat Ansible Automation Platform 2; python-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3.11-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3.12-gitpython.src as a component of Red Hat Ansible Automation Platform 2; python3x-gitpython.src as a component of Red Hat Ansible Automation Platform 2; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/disk-image-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-mlflow-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 35 more
    Red Hat Product Security ↗
  3. ENISA EUVD mappingEUVD-2026-65223 was added to the official ENISA EUVD mapping for this CVE.
    Before
    not recorded
    After
    {"euvdId":"EUVD-2026-65223"}
    ENISA EUVD ↗
  4. Vendor guidanceAuthoritative vendor guidance changed: added vendor advisory: github.com/GHSA-8mcc-hrx5-hvxc.
    Before
    remediation: github.com/GHSA-8mcc-hrx5-hvxc
    After
    remediation: github.com/GHSA-8mcc-hrx5-hvxc · vendor advisory: github.com/GHSA-8mcc-hrx5-hvxc
    github.com ↗
  5. Public exploit evidencePublic exploit evidence changed from Public exploit reference to Public exploit reference.
    Before
    Public exploit reference
    After
    Public exploit reference
    github.com ↗
  6. Public exploit evidencePublic exploit evidence changed from No public exploit to Public exploit reference.
    Before
    No public exploit
    After
    Public exploit reference
    CVE.org ↗
  7. Catalogue recordCVE added to the BlackTree catalogue.
    CNA ↗
  8. CVSS scoreCVSS vector changed while the displayed base score remained 8.7.
    Before
    8.7 (CVSS 4.0 · CNA · CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X)
    After
    8.7 (CVSS 4.0 · CNA · CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N)
    CNA ↗
Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
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.
Free version - for non-commercial use only.CVE-2026-78677 · cve.blacktree.nl