GitPython before 3.1.57 Arbitrary File Read via Repo.archive()
gitpython-developers · GitPython
7.1HighCVSS 4.0
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.
Patch available
Distribution package intelligence
Ubuntu vendor package status
Canonical’s release and source-package findings are shown separately from local repository availability.
1 package state
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.
Ubuntu release
Source package
Vendor state
Fixed version
Evidence
Ubuntu 24.04 LTSnoble · esm-apps
python-git
Under evaluationCanonical reports that the package might be affected and still needs evaluation or fixing.
Structured product status and remediation from the issuing vendor. Product-state explanations are always visible; large lists can be searched or downloaded.
1 current
CVE-2026-73619 · CSAF 2.0 · revision 3 · finalRed Hat Product Securitygitpython: GitPython: Arbitrary file read vulnerability via `Repo.archive()`
51 known affected
The vendor explicitly identifies these products as affected by this CVE.
exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence
mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8
pen-drive/pen-drive-scanner-rhel9 as a component of Pen Drive Powered by Red Hat Lightspeed
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
Summary
A flaw was found in GitPython. This vulnerability allows an attacker to read arbitrary files from the filesystem. By exploiting an incomplete denylist in the `unsafe_git_archive_options` guard, an attacker can supply specific options, such as `--add-file` or `--add-virtual-file`, to the `Repo.archive()` function. This leads to unauthorized information disclosure at the privileges of the process running GitPython.
Remediation
Fix deferred
Optional official sources
National CERT insights ?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.
Select the national-authority views to include. The exact source language is shown on each matched advisory. Your choice is remembered on this device and encoded in the shareable URL.
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-2026-57823
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
GitPython before 3.1.57 contains an incomplete denylist in the unsafe_git_archive_options guard that omits --add-file and --add-virtual-file options. Attackers can supply these options to Repo.archive() to read arbitrary files from the filesystem and include them in the returned archive.
What
GitPython before 3.1.57 contains an incomplete denylist in the unsafe_git_archive_options guard that omits --add-file and --add-virtual-file options. Attackers can supply these options to Repo.archive() to read arbitrary files from the filesystem and include them in the returned archive.
Why
The product allows user input to control or influence paths or file names that are used in filesystem operations.
How
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may obtain information outside the intended access boundary.
What
GitPython before 3.1.57 contains an incomplete denylist in the unsafe_git_archive_options guard that omits --add-file and --add-virtual-file options. Attackers can supply these options to Repo.archive() to read arbitrary files from the filesystem and include them in the returned archive.
Why
The product allows user input to control or influence paths or file names that are used in filesystem operations.
How
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may obtain information outside the intended access boundary.
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 → External Control of File Name or Path → obtain information outside the intended access boundary
Attack surface
Network
Privileges required
Low: a basic authenticated account is required
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-73: External Control of File Name or Path. The product allows user input to control or influence paths or file names that are used in filesystem operations.
CVSS vector ?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
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.PRLowPrivileges required: The attacker needs basic user-level 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.
NetworkCWE-73Public exploit reference
A
Official authority intelligence
Only matched European and national findings are included. Language selectors and unavailable sources are omitted.
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.
Patch available
Affected
exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; pen-drive/pen-drive-scanner-rhel9 as a component of Pen Drive Powered by Red Hat Lightspeed; 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; python-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-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); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 21 more
Fixed
3.1.57
Action
Review the linked authoritative reference and apply the recorded fixed release appropriate to the affected product branch.
Workaround
No verified workaround is recorded. If business-safe, reduce exposure to the affected interface and allow only trusted sources until authoritative guidance is available.
04
Evidence and provenance
Published 13 Aug 2026 · Last source change 15 Aug 2026, 03:11 UTC · CWE-73 · External Control of File Name or Path
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 2026-08-14
European sourceENISA EUVD · EUVD-2026-57823
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.
Affected versionsThe structured affected or fixed version information changed.
Before
exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; pen-drive/pen-drive-scanner-rhel9 as a component of Pen Drive Powered by Red Hat Lightspeed; 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; python-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; rust.src as a component of Red Hat Hardened Images; 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-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); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 22 more
After
exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; pen-drive/pen-drive-scanner-rhel9 as a component of Pen Drive Powered by Red Hat Lightspeed; 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; python-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-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); rhoai/odh-th06-cuda130-torch210-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-th06-cuda130-torch291-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 21 more
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.
CVE-2026-73619: GitPython before 3.1.57 Arbitrary File Read via Repo.archive() | BlackTree
