CVE-2024-37014 (GCVE-0-2024-37014)
Vulnerability from cvelistv5 – Published: 2024-06-10 00:00 – Updated: 2024-08-02 03:43Summary
Langflow through 0.6.19 allows remote code execution if untrusted users are able to reach the "POST /api/v1/custom_component" endpoint and provide a Python script.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-12 14:47 UTC
CWE
- n/a
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
Impacted products
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 49b08f6f-9f5e-4e73-9c20-98471e002f42
Exploited: Yes
Timestamps
First Seen: 2026-08-01
Asserted: 2026-08-01
Scope
Notes: Langflow through 0.6.19 allows remote code execution if untrusted users are able to reach the "POST /api/v1/custom_component" endpoint and provide... | Affected: langflow-ai / Langflow | CVSS: 9.8 (CRITICAL) | EPSS: 0.31113 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Langflow through 0.6.19 allows remote code execution if untrusted users are able to reach the "POST /api/v1/custom_component" endpoint and provide... |
| Vendor | langflow-ai |
| Product | Langflow |
| Added Date | 2026-08-01T10:55:44.980Z |
| Cvss Score | 9.8 |
| Epss Score | 0.31113 |
| Cvss Severity | CRITICAL |
| Epss Percentile | 0.98087 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-08-01 11:00 UTC
| Updated: 2026-08-01 11:00 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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