CVE-2024-6507 json
Deep Lake Kaggle command injection
published 2024-07-04 2 y ago modified 2026-06-17 4 mo ago also EUVD-2024-47985
- cvss
- 8.1
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 1.3%
- EPSS 1.3% chance of exploitation in 30 days, percentile 71%
- public exploits
- 0
- none known
Summary
Command injection when ingesting a remote Kaggle dataset due to a lack of input sanitization in the ingest_kaggle() API
Patch / fix
- github.com/activeloopai/deeplake#2876 pull request
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- total
- Assessed
- 2 y ago
Exploit prediction
1.32% chance of exploitation in the next 30 days, higher than 71% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 8.1 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H |
Affected products
- deeplake deeplake
Classification
References
Sources
- CVE List CVE-2024-6507
- NVD CVE-2024-6507
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.