SSRF in Opensift
CVE-2026-27170
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENSIFT_ALLOW_PRIVATE_URLS=true with caution.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
EPSS: 0.002 (8.0th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.1 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N.
Affected products
- Opensift — versions < 1.1.3-alpha
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Vendor Advisory)
- security-advisories@github.com (Product, x_refsource_MISC, Release Notes)
Frequently asked questions
- What is CVE-2026-27170?
- CVE-2026-27170 is a high-severity vulnerability in Opensift, classified under Improper Input Validation. CVSS score: 7.1/10. Published 2026-02-21.
- How severe is CVE-2026-27170?
- High severity. CVSS v3 base score is 7.1 out of 10.