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CVE detail

CVE-2026-10803

A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.

CVSS 1.1 · LowBuzz score 31.81 public exploit repository references

Buzz score

Why this CVE is surfacing

Buzz score total 31.8

This all-time snapshot uses the same composite formula as Trending across a 30-year evidence window, rather than a current rolling window.

Buzz score components · mention 20.8 · diversity 6.5 · KEV 0.0 · OTX 0.0 · PoC 4.5
Mention score
20.8
7 evidence mentions in the snapshot
Diversity score
6.5
2 sources across 1 categories
KEV score
0.0
No KEV entry observed
OTX score
0.0
0 OTX pulses
PoC score
4.5
1 repos · best confidence 0.90
Best PoC traction
0
Maximum stars on a matched PoC repo

Why it matters now

Mention timeline

Total mentions
0
within the 30d window
Peak daily
0
highest bucket

Evidence

Source links by recency

Newest mentions first
7 source links · newest first

Exploit code

Public exploit repository references

Public PoC repositories are third-party, potentially unsafe artifacts. Treat their code as untrusted and use it only on authorized systems in an isolated, least-privilege environment. cvebuzz does not execute the code or verify that an exploit works.

1 repository references · best confidence 0.90 · max 0 stars
  • mlflow/mlflowHigh confidence
    githubNVD Exploit reference0 starsDiscovered Jul 22, 2026, 9:11 PM

    NVD labels the source link as Exploit; this is not independent verification of the repository's code.

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