UntangleApplication · Untangle Project

CVE-2022-31471

HIGH · 7.5 CVSS v3.1 Published 2022-07-26
Fix available
A fix is available. Upgrade to after 1.2.0 or later.
See remediation →
84/100
Remediation priority · High
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
untangle is a python library to convert XML data to python objects. untangle versions 1.2.0 and earlier improperly restricts XML external entity references. By exploiting this vulnerability, a remote unauthenticated attacker may read the contents of local files.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

The untangle Python library versions 1.2.0 and earlier contains an XML External Entity (XXE) injection vulnerability due to improperly restricting XML external entity references. Attackers can supply malicious XML containing external entity declarations to read arbitrary local files from the system processing the XML.

MitigationUpgrade untangle to a version that disables external entity processing, or configure the underlying XML parser to disable external entities and DTD processing before passing XML to untangle.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
UntangleApplication
Affected:<= 1.2.0

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check if untangle library is installed
    Run 'pip show untangle' or 'pip list' to see if the untangle package is present in your Python environment
    Affected if untangle package is not found in your Python environment
  2. Determine the installed version
    Run 'pip show untangle' and note the Version field, or compare output of 'pip list' against the affected range <= 1.2.0
    Affected if The installed version is 1.2.0 or earlier
  3. Identify code using untangle to parse XML
    Search your codebase for 'import untangle' or 'from untangle import' statements, and identify where parse() or similar methods are called on untrusted XML input
    Affected if Your application imports and uses untangle to process XML, especially from external or untrusted sources

You are affected if the untangle Python library version 1.2.0 or earlier is installed and your code uses it to parse XML from potentially untrusted sources.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to a release after 1.2.0
Interim mitigation

Upgrade untangle to a version that disables external entity processing, or configure the underlying XML parser to disable external entities and DTD processing before passing XML to untangle.

Recommended fix High confidence

untangle version 1.2.1 or later

  1. Upgrade the untangle Python package to version 1.2.1 or later using pip: pip install --upgrade untangle
  2. Verify the upgrade was successful by running: pip show untangle
  3. After upgrading, ensure your application still functions correctly by running your test suite
  4. If you cannot upgrade immediately, you can mitigate by using defusedxml instead of untangle for parsing untrusted XML, or by sanitizing XML input before passing it to untangle
Caveat None expected - this is a security fix that should not affect functionality

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Untangle Scoped from the published advisory
  • Consultation2.0 h
  • Implementation2.0 h
  • Testing3.0 h
  • Review / QA1.0 h
8.0 hours of engineering $1,390
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $2,224.

Scan for this in your stack

Free · runs locally
dbcve dependency scanner

Check whether your project pulls in CVE-2022-31471 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.

References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2022-31471 in production — separate from our analysis above.

No notes yet

Be the first to add a field note for this CVE — a mitigation you’ve verified, a version caveat, or a link to a working fix. Sign in above to contribute.

What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data