CVE-2023-35625 json
Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability
published 2023-12-12 2 y ago modified 2026-07-07 4 mo ago also GHSA-m5pc-86x8-wcxg , PYSEC-2026-1664 , EUVD-2023-3243
- cvss
- 4.7
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.7%
- EPSS 0.7% chance of exploitation in 30 days, percentile 53%
- public exploits
- 0
- none known
Summary
Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability
Patch / fix
- pypi mltable 1.5.0
- Microsoft Azure Machine Learning 1.5.0
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 2 y ago
Exploit prediction
0.71% chance of exploitation in the next 30 days, higher than 53% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 4.7 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N/E:U/RL:O/RC:C |
| CNA | 3.1 | 4.7 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N |
| GitHub | 3.1 | 4.7 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N |
| OSV | 3.1 | 4.7 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | mltable | <1.5.0 |
1.5.0 |
Affected products
- Microsoft Azure Machine Learning
Classification
- Weakness
-
- CWE-200 Exposure of Sensitive Information to an Unauthorized Actor
References
-
msrc.microsoft.com
/update-guide/vulnerability/CVE-2023-35625
vendor-advisory, web, patch
-
nvd.nist.gov
/vuln/detail/CVE-2023-35625
advisory
-
pypi.org
/project/mltable
package
-
github.com
/advisories/GHSA-m5pc-86x8-wcxg
advisory
Sources
- CVE List CVE-2023-35625
- GitHub Advisory GHSA-m5pc-86x8-wcxg
- NVD CVE-2023-35625
- OSV PYSEC-2026-1664
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.