Vulnerability in Datalab-To Surya
CVE-2026-85687
surya 0.22.1 screenshot server contains an unauthenticated arbitrary file read vulnerability in the /info, /page, and /process routes that accept raw file_path parameters. Attackers can read any image or PDF file on the host by supplying arbitrary file paths to Image.open or pypdfium2.PdfDocument, obtaining rendered contents as base64 and using /info as an existence oracle.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N.
EPSS exploit prediction
EPSS: 0.005 (42.2th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 42nd percentile — 42.2% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.003 · newest: 0.005 · change: +0.002
Affected products
Weakness classification (CWE)
References
- github.com/datalab-to/surya (product)
- github.com/datalab-to/surya/blob/v0.22.1/surya/scripts/screenshot_app.py (technical-description)
- github.com/datalab-to/surya/issues/518 (issue-tracking)
- www.vulncheck.com/advisories/surya-0.22.1-unauthenticated-arbitrary-file-read-v… (third-party-advisory)
Frequently asked questions
- What is CVE-2026-85687?
- CVE-2026-85687 is a high-severity vulnerability in Datalab-To Surya, classified under External Control of File Name or Path. CVSS score: 7.5/10. Published 2026-09-04.
- How severe is CVE-2026-85687?
- High severity. CVSS v3 base score is 7.5 out of 10.