CVE-2026-5594 (GCVE-0-2026-5594)
Vulnerability from cvelistv5 – Published: 2026-04-05 18:30 – Updated: 2026-04-06 15:25
VLAI
EPSS
VEX
Title
premAI-io premsql followup.py eval code injection
Summary
A weakness has been identified in premAI-io premsql up to 0.2.1. Affected is the function eval of the file premsql/agents/baseline/workers/followup.py. This manipulation of the argument result causes code injection. The attack is possible to be carried out remotely. The exploit has been made available to the public and could be used for attacks. 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 2026-04-06 15:25 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/355388 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/355388/cti | signaturepermissions-required |
| https://vuldb.com/submit/784462 | third-party-advisory |
| https://github.com/Ka7arotto/cve/blob/main/premsq… | related |
| https://github.com/Ka7arotto/cve/blob/main/premsq… | exploit |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
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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.