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Not in CISA KEV
MEDIUM severity

CVE-2023-35625 — mltable

MEDIUM

CVE-2023-35625 is a medium-severity (CVSS 4.7) Information Exposure vulnerability in mltable. A fix is available for mltable — see the affected versions and patch details below.

Exposure of Sensitive Information in mltable

Also known asPYSEC-2026-1664
Published
Dec 12, 2023
Updated
Jul 7, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 24, 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 CVE-2023-35625.

EPSS Exploitation Probability

via FIRST.org ↗
0.7%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs52th percentile — riskier than 52% 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

CVE-2023-35625 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 378,156 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
🐍mltable

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

Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPImltableall versions1.5.0pip install --upgrade 'mltable==1.5.0'

Detection & mitigation playbook

Open-source dependency
  1. Detect

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

  2. Fix

    Update mltable to 1.5.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2023-35625 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 CVE-2023-35625 can be triaged on real exposure rather than presence alone.

Tailored to CVE-2023-35625. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability
O3 Security · Impact-Aware SCA

Is CVE-2023-35625 in your dependencies?

O3 Security finds CVE-2023-35625 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

CVE-2023-35625: mltable (Medium 4.7) | O3 Security