CVE-2026-73699 (GCVE-0-2026-73699)
Vulnerability from cvelistv5 – Published: 2026-09-10 16:36 – Updated: 2026-10-01 15:20
VLAI
EPSS
VEX
Title
FileRun < 2026.3.0 PHP Object Injection via Perms::getPerms()
Summary
FileRun before 2026.3.0 contains a PHP object injection vulnerability that allows authenticated attackers to execute arbitrary code by exploiting incorrect options passed to unserialize() in the Perms::getPerms() method, where a positional array is used instead of the required named-key array to disable class instantiation. Attackers with database write access can inject a serialized gadget chain into the permissions table columns processed on every authenticated page load to write arbitrary files, such as PHP webshells, to web-accessible paths.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-10 17:09 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vulncheck.com/blog/filerun-delegated-admi… | technical-descriptionexploit |
| https://filerun.com/index.php/changelog?v=2026.3.0 | release-notespatch |
| https://www.vulncheck.com/advisories/filerun-php-… | third-party-advisory |
Impacted products
Date Public
2026-09-06 00:00
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Sightings
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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.
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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.