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CVE-2026-10803

MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

2.0 LowFix available

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.

Attack profile

How easy it is to exploit

Attack vector
Local
Complexity
High
Privileges needed
Low
User interaction
None

What an attacker can affect

Confidentiality
None
Integrity
Low
Availability
Low

Exploit likelihood

0.10%Up 0.1 points since Jun 5, 2026
90%50%10%1%

What each source reports

CVE List Score used 2.0

MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

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.

Record
CVE-2026-10803
CVSS 4.0
2.0 LowCVSS: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
CVSS 3.1
3.6 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L/E:P/RL:X/RC:R
CVSS 3.0
3.6 LowCVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L/E:P/RL:X/RC:R
CVSS 2.0
2.4 AV:L/AC:H/Au:S/C:N/I:P/A:P/E:POC/RL:ND/RC:UR
Weakness
CWE-328, CWE-327
Updated
2026-11-02
EUVDEUVD-2026-34245 2.0

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.

Record
EUVD-2026-34245
CVSS 4.0
2.0 LowCVSS: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
Updated
2026-11-02
GitHub AdvisoriesGHSA-5qmp-p3c4-72qj 1.1

MLflow: Deterministic sampling in dataset digest enables predictable collisions

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.

Record
GHSA-5qmp-p3c4-72qj
CVSS 4.0
1.1 LowCVSS: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
CVSS 3.1
3.6 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
Weakness
CWE-327
Updated
2026-11-02
NVD 1.1

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.

Record
CVE-2026-10803
CVSS 4.0
1.1 LowCVSS: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
CVSS 3.1
3.6 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
CVSS 2.0
2.4 LowAV:L/AC:H/Au:S/C:N/I:P/A:P
Weakness
CWE-327, CWE-328
Updated
2026-11-02
OSV 1.1

MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

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.

Record
CVE-2026-10803
CVSS 4.0
1.1 LowCVSS: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
Weakness
CWE-327, CWE-328
Updated
2026-11-02
OSVGHSA-5qmp-p3c4-72qj 1.1

MLflow: Deterministic sampling in dataset digest enables predictable collisions

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.

Record
GHSA-5qmp-p3c4-72qj
CVSS 4.0
1.1 LowCVSS: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
CVSS 3.1
3.6 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
Weakness
CWE-327
Updated
2026-11-02
OSVPYSEC-2026-195 1.1

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.

Record
PYSEC-2026-195
CVSS 4.0
1.1 LowCVSS: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
Updated
2026-11-02
OSVBIT-mlflow-2026-10803 No score

MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

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.

Record
BIT-mlflow-2026-10803
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
mlflow
PyPI
before 3.10.1
3.10.1
mlflow
Bitnami
before 3.10.1
3.10.1
mlflow
PyPI
before 3.10.1, plus listed versions
0.0.10.1.00.2.00.2.10.3.0
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0.4.00.4.10.4.20.5.00.5.10.5.20.6.00.7.00.8.00.8.10.8.20.9.00.9.0.10.9.11.0.01.1.01.1.1.dev01.10.01.11.01.12.01.12.11.131.13.11.14.01.14.11.15.01.16.01.17.01.18.01.19.01.2.01.20.01.20.11.20.21.21.01.22.01.23.01.23.11.24.01.25.01.25.11.26.01.26.11.27.01.28.0
3.10.1

History

History
RecordedChangedSources
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2026-10803 is a low vulnerability (CVSS 2.0) in Lfprojects Mlflow, published June 4, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.10%, the 0th percentile. Fixed in mlflow 3.10.1.

References

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