CVE-2026-2676 (GCVE-0-2026-2676)
Vulnerability from cvelistv5 – Published: 2026-02-18 22:02 – Updated: 2026-02-23 10:25
VLAI
EPSS
VEX
Title
GoogTech sms-ssm API LoginInterceptor.java preHandle improper authorization
Summary
A weakness has been identified in GoogTech sms-ssm up to e8534c766fd13f5f94c01dab475d75f286918a8d. Affected by this issue is the function preHandle of the file LoginInterceptor.java of the component API Interface. Executing a manipulation can lead to improper authorization. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-19 16:00 UTC
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.346469 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.346469 | signaturepermissions-required |
| https://vuldb.com/?submit.749702 | third-party-advisory |
| https://github.com/GoogTech/sms-ssm/issues/27 | issue-tracking |
| https://github.com/GoogTech/sms-ssm/issues/27#iss… | issue-tracking |
| https://github.com/GoogTech/sms-ssm/issues/27#iss… | exploitissue-tracking |
| https://github.com/GoogTech/sms-ssm/ | product |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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
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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.
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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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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.