CVE-2026-85662 (GCVE-0-2026-85662)
Vulnerability from cvelistv5 – Published: 2026-09-04 14:32 – Updated: 2026-09-08 16:59
VLAI
EPSS
VEX
Title
Marqo 2.26.0 Server-Side Request Forgery via Media URLs
Summary
Marqo 2.26.0 contains a server-side request forgery vulnerability in the add_documents endpoint that allows unauthenticated attackers to trigger requests to arbitrary URLs by supplying malicious media field values. Attackers can exploit download_image_from_url and fetch_content_sample functions which lack destination filtering and host validation to access internal services and cloud metadata endpoints.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 16:59 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/marqo-ai/marqo/issues/1452 | issue-tracking |
| https://github.com/marqo-ai/marqo | product |
| https://github.com/marqo-ai/marqo/blob/2.26.0/com… | technical-description |
| https://www.vulncheck.com/advisories/marqo-2.26.0… | third-party-advisory |
Impacted products
Date Public
2026-07-13 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.
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.
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