CVE-2026-105707 (GCVE-0-2026-105707)
Vulnerability from cvelistv5 – Published: 2026-10-06 05:00 – Updated: 2026-10-06 17:40
VLAI
EPSS
VEX
Title
uptrace user_handler.go Login information exposure
Summary
A security vulnerability has been detected in uptrace up to 2.1.0-beta.8. Affected by this vulnerability is the function Login of the file pkg/org/user_handler.go. The manipulation leads to information exposure through error message. It is possible to initiate the attack remotely. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-06 17:06 UTC
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/413700 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/413700/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-105707 | third-party-advisory |
| https://vuldb.com/submit/992057 | third-party-advisory |
| https://github.com/uptrace/uptrace/issues/600 | exploitissue-tracking |
| https://github.com/uptrace/uptrace/ | product |
Impacted products
1 product
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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.
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- 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.
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- 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.
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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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