CVE-2024-28425: greykite · Unrestricted File Upload
Affects greykiteSource CVE Database V5
Not known to be exploited · CVSS 7.5 High.
Data as of 26 Oct 2026, 17:16 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 46% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 14 Mar 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 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
PyPIgreykitepkg:pypi/greykiteOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Organizations should immediately review their use of greykite v1.0.0 and restrict access to the vulnerable load_obj functionality. Employ network-level controls such as web application firewalls (WAFs) to detect and block suspicious upload attempts. Limit user permissions and isolate the environment running greykite to minimize potential damage from exploitation. Monitor logs for unusual file upload activity and signs of code execution. Consider disabling or restricting the pickle_utils.py module if feasible until a patch is released. Engage with the greykite development community or vendor for updates and patches. Finally, educate users about the risks of interacting with untrusted file uploads to reduce the likelihood of triggering the vulnerability.
Description
greykite v1.0.0 was discovered to contain an arbitrary file upload vulnerability in the load_obj function at /templates/pickle_utils.py. This vulnerability allows attackers to execute arbitrary code via uploading a crafted file.