Preliminary research
Exploiting AQL Injection Vulnerabilities in ArangoDB
AI-collected research leads through 22 September 2026, including targeted additions between broader sweeps. Unranked, incomplete, not community-vetted, and subject to change.
Explains AQL injection in collection and filter positions, including error-based, reflected, blind and timed extraction. Shows data modification and creation of JavaScript UDFs through system-collection writes, with filesystem access under permissive configurations. Includes the aqlmap tool.
Record
- Researcher
- Daniel Kachakil
- Published by
- Anvil Secure
- Date
- Topic
- Injection
In the archive
Related sources
- ArangoDB UDF Security Advisory Whitepaper
- aqlmap Repository
Tags
This page is the archive's own catalogue record. The research is the work of Daniel Kachakil, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on .