Vulnerability in Mlalchemy Project
CVE-2017-16615
An exploitable vulnerability exists in the YAML parsing functionality in the parse_yaml_query method in parser.py in MLAlchemy before 0.2.2. When processing YAML-Based queries for data, a YAML parser can execute arbitrary Python commands resulting in command execution because load is used where safe_load should have been used. An attacker can insert Python into loaded YAML to trigger this vulnerability.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.034 (88.9th percentile), scored .
Low probability of exploitation in the next 30 days, but still tracked. 89th percentile — 88.9% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.034 · newest: 0.034 · change: 0.000
Affected products
- Mlalchemy Project — versions 0.1.1, 0.1.2, 0.1.3
Public proof-of-concept exploits
References
- github.com/thanethomson/MLAlchemy/commit/bc795757febdcce430d89f9d08f75c32d6989d… (Issue Tracking)
- github.com/thanethomson/MLAlchemy/issues/1 (Issue Tracking)
- joel-malwarebenchmark.github.io/blog/2017/11/08/cve-2017-16615-critical-restful… (Third Party Advisory)
Frequently asked questions
- What is CVE-2017-16615?
- CVE-2017-16615 is a critical-severity vulnerability in Mlalchemy Project. CVSS score: 9.8/10. Published 2017-11-08.
- How severe is CVE-2017-16615?
- Critical severity. CVSS v3 base score is 9.8 out of 10.
- Is CVE-2017-16615 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.