CVE-2026-6584 (GCVE-0-2026-6584)
Vulnerability from cvelistv5 – Published: 2026-04-19 23:15 – Updated: 2026-04-20 15:07
VLAI
EPSS
VEX
Title
TransformerOptimus SuperAGI User Update Endpoint user.py update_user authorization
Summary
A vulnerability was found in TransformerOptimus SuperAGI up to 0.0.14. This vulnerability affects the function update_user of the file superagi/controllers/user.py of the component User Update Endpoint. The manipulation of the argument user_id results in authorization bypass. The attack may be performed from remote. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-20 15:07 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/358219 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/358219/cti | signaturepermissions-required |
| https://vuldb.com/submit/791075 | third-party-advisory |
| https://gist.github.com/YLChen-007/79b967ece52d42… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| TransformerOptimus | SuperAGI |
Affected:
0.0.1
Affected: 0.0.2 Affected: 0.0.3 Affected: 0.0.4 Affected: 0.0.5 Affected: 0.0.6 Affected: 0.0.7 Affected: 0.0.8 Affected: 0.0.9 Affected: 0.0.10 Affected: 0.0.11 Affected: 0.0.12 Affected: 0.0.13 Affected: 0.0.14 cpe:2.3:a:superagi:superagi:*:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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.