CVE-2026-77066 (GCVE-0-2026-77066)
Vulnerability from cvelistv5 – Published: 2026-08-20 11:05 – Updated: 2026-08-21 16:44
VLAI
EPSS
VEX
Title
Omnivore Server-Side Request Forgery via the scanFeeds GraphQL Query
Summary
The scanFeedsResolver in packages/api/src/resolvers/subscriptions/index.ts passes the caller-supplied url straight to axios.get(url, rssParserConfig()) with no address validation. The same file guards the subscribe path with validateUrl(), which rejects private and reserved ranges through the private-ip library, and createPageSaveRequest applies the same check, so the omission is specific to this resolver. An authenticated user can direct the server to request arbitrary internal endpoints. The response is parsed as a feed or as HTML and the resolver returns the resulting url, title, description and type fields, so disclosure is limited to feed-shaped metadata and to link elements advertising RSS or Atom feeds; requests that do not parse still distinguish reachable ports from unreachable ones through the resulting error.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-21 16:44 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/omnivore-app/omnivore/issues/4647 | issue-tracking |
| https://github.com/omnivore-app/omnivore/commit/c… | patch |
| https://github.com/omnivore-app/omnivore/blob/0d6… | technical-description |
| https://github.com/omnivore-app/omnivore | product |
| https://www.vulncheck.com/advisories/omnivore-ser… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| omnivore-app | omnivore |
Affected:
0 , < c4d7d8562e6b9aabb1d8e4dabca268e314baa43a
(git)
|
guessed |
Date Public
2026-06-17 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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