CVE-2024-5821: stitionai/devika · Path Traversal
Affects stitionai/devikaSource CVE Database V5
Not known to be exploited · CVSS 6.2 Medium.
Data as of 25 Oct 2026, 19:02 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 13% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 3 Jul 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.
What to do
AI-suggested
To mitigate CVE-2024-5821, organizations should first check for any official patches or updates from stitionai and apply them promptly once available. In the absence of patches, disabling or restricting the autocorrect feature that attempts to resolve misspelled filenames can prevent exploitation. Implement strict access controls to limit local user permissions on systems running stitionai/devika, ensuring only trusted users have access. Employ file system permissions to restrict access to sensitive files like /etc/passwd. Monitor system and application logs for unusual file access patterns or repeated failed file requests that might indicate exploitation attempts. Use host-based intrusion detection systems (HIDS) to alert on suspicious local activity. Conduct regular security audits and user training to reduce insider threat risks. Finally, consider network segmentation to isolate critical servers running this software from less trusted environments.
Description
The vulnerability allows an attacker to access sensitive files on the server by confusing the agent with incorrect file names. When a user requests the content of a file with a misspelled name, the agent attempts to correct the command and inadvertently reveals the content of the intended file, such as /etc/passwd. This can lead to unauthorized access to sensitive information and potential server compromise.