CVE-2026-10803: lfprojects mlflow
Vulnerability summary
CVE-2026-10803 is a low (CVSS 3.6) vulnerability in lfprojects mlflow. EPSS estimates a 0.10% chance of exploitation in the next 30 days, higher than 0.9% of scored vulnerabilities. 1 public exploit is recorded.
Timeline
- 04-06-2026PublishedVulnerability first disclosed.
- 04-06-2026Last modifiedVulnerability information updated.
Description
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 metrics
8 scores · 3 sources · 4 versions- OSV · PypiEcosystem advisory · calculated2.0LowCVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
- NVDNIST1.1LowCVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XDiffers
- NVDNIST3.6LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
- NVDNIST2.4LowAV:L/AC:H/Au:S/C:N/I:P/A:P
EPSS trend
Probability
0.10%
Chance of exploitation in the next 30 days
Percentile
1%
Versus all other CVEs
30-day change
0.00 pp
From 0.10% on 20-09-2026
Known exploited
Compare KEV catalogsNot in any of the 3 tracked catalogs.
Public exploits
1 foundMlflow
Maturity: poc
Weaknesses
CWE · root cause- CWE-327Use of a Broken or Risky Cryptographic AlgorithmThe product uses a broken or risky cryptographic algorithm or protocol.
- CWE-328Use of Weak HashThe product uses an algorithm that produces a digest (output value) that does not meet security expectations for a hash function that allows an adversary to reasonably determine the original input (preimage attack), find another input that can produce the same hash (2nd preimage attack), or find multiple inputs that evaluate to the same hash (birthday attack).
Affected systems
Lfprojects1 product
- mlflow≤ 3.10.0
PyPI1 product
- mlflow< 3.10.1
2 vendors · 2 products
References
11 links- github.com/mlflow/mlflowPACKAGE