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GHSA-fqph-j6v6-jvgx docling-graph

MEDIUM

GHSA-fqph-j6v6-jvgx is a medium-severity (CVSS 5.7) Open Redirect vulnerability in docling-graph. A fix is available for docling-graph — see the affected versions and patch details below.

docling-graph has SSRF via Missing Internal IP Validation in URLInputHandler

Also known asCVE-2026-44520PYSEC-2026-2458
Published
May 7, 2026
Updated
Jul 13, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 19, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-fqph-j6v6-jvgx.

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs9th percentile — riskier than 9% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-fqph-j6v6-jvgx plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 377,166 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍docling-graph

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Impact

The URLInputHandler class in docling_graph/core/input/handlers.py makes HTTP requests to user-supplied URLs without validating whether the target resolves to a private, loopback, or link-local IP address. The URLValidator only checks for a valid scheme and non-empty netloc, performing no IP-level validation. Additionally, requests.head() was called with allow_redirects=True, allowing an attacker to redirect requests to internal endpoints via an intermediary URL.

An attacker who can control the --source CLI argument or PipelineConfig.source API parameter can trigger Server-Side Request Forgery (SSRF) to reach:

  • Cloud metadata endpoints (e.g. 169.254.169.254) to steal IAM credentials
  • Internal services on loopback (127.0.0.1) or private network ranges (10.x, 172.16.x, 192.168.x)

This affects deployments where docling-graph processes URLs from untrusted input, such as multi-tenant pipelines or server-side automation.

Patches

The vulnerability is fixed in v1.5.1.

Users should upgrade immediately:

pip install --upgrade docling-graph

The fix adds IP validation via ipaddress and socket.gethostbyname() before any request is made, blocks private/loopback/link-local/reserved addresses, and disables redirect following (allow_redirects=False) with explicit validation of any Location header before following it.

Workarounds

If upgrading is not immediately possible, ensure that all URLs passed to URLInputHandler come exclusively from trusted, internal sources, never from user-supplied or external input. There is no safe code-level workaround short of applying the patch, as the vulnerability is in the library itself.

Resources

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIdocling-graphall versions1.5.1pip install --upgrade 'docling-graph==1.5.1'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for docling-graph, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update docling-graph to 1.5.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fqph-j6v6-jvgx is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-fqph-j6v6-jvgx can be triaged on real exposure rather than presence alone.

Tailored to GHSA-fqph-j6v6-jvgx. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact The `URLInputHandler` class in `docling_graph/core/input/handlers.py` makes HTTP requests to user-supplied URLs without validating whether the target resolves to a private, loopback, or link-local IP address. The `URLValidator` only checks for a valid scheme and non-empty `netloc`, performing no IP-level validation. Additionally, `requests.head()` was called with `allow_redirects=True`, allowing an attacker to redirect requests to internal endpoints via an intermediary URL. An attacker who can control the `--source` CLI argument or `PipelineConfig.source` API parameter can trigger
O3 Security · Impact-Aware SCA

Is GHSA-fqph-j6v6-jvgx in your dependencies?

O3 Security finds GHSA-fqph-j6v6-jvgx across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-fqph-j6v6-jvgx: SSRF (Medium 5.7) | O3 Security