CVE-2026-85699 (GCVE-0-2026-85699)
Vulnerability from cvelistv5 – Published: 2026-09-04 14:32 – Updated: 2026-09-08 17:13
VLAI
EPSS
VEX
Title
jina-ai reader server-side request forgery via redirect validation bypass
Summary
jina-ai reader contains a server-side request forgery vulnerability where URL validation is performed only on the initial request but not re-applied to subsequent redirect hops. Attackers can craft a public URL that redirects to internal network addresses or cloud metadata endpoints, allowing the server to fetch and return the target's response body to the attacker.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 17:13 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/jina-ai/reader/issues/1252 | issue-tracking |
| https://github.com/jina-ai/reader | product |
| https://github.com/jina-ai/reader/blob/1574bfd380… | technical-description |
| https://github.com/jina-ai/reader/blob/1574bfd380… | technical-description |
| https://www.vulncheck.com/advisories/jina-ai-read… | third-party-advisory |
Impacted products
Date Public
2026-06-12 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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