CVE-2026-85732 (GCVE-0-2026-85732)
Vulnerability from cvelistv5 – Published: 2026-09-16 16:22 – Updated: 2026-09-16 17:29
VLAI
EPSS
VEX
Title
oras-go: Blind SSRF via unvalidated Link header URL in pagination allows internal network probing
Summary
oras-go is a Go library for managing OCI artifacts. Prior to 2.6.2, the parseLink function in registry/remote/utils.go accepts an absolute URL from a registry-controlled Link response header without validating its scheme, host, or port. Tags, Referrers, and Repositories pagination operations then issue a GET request to the attacker-selected URL from the victim's network, allowing blind server-side request forgery against internal services. The response body is not returned to the attacker, but timing and error differences can reveal service reachability, and credentials may be attached when the credential store has an entry for the target host. Exploitation requires a victim to perform a pagination-based listing operation against a malicious registry. The maintainer identifies this report as a duplicate of GHSA-3hr5-mjrr-hfjh and states that remediation is consolidated in that earlier advisory. The consolidated issue is fixed in version 2.6.2.
Severity
4.7 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-16 17:29 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/oras-project/oras-go/security/… | x_refsource_CONFIRM |
| https://github.com/oras-project/oras-go/commit/31… | x_refsource_MISC |
| https://github.com/oras-project/oras-go/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| oras-project | oras-go |
Affected:
< 2.6.2
|
guessed |
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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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