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CVE-2026-33497 (GCVE-0-2026-33497)

Vulnerability from cvelistv5 – Published: 2026-03-24 13:14 – Updated: 2026-03-24 17:45
VLAI Previdian
Title
Langflow: /profile_pictures/{folder_name}/{file_name} endpoint file reading
Summary
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.1, in the download_profile_picture function of the /profile_pictures/{folder_name}/{file_name} endpoint, the folder_name and file_name parameters are not strictly filtered, which allows the secret_key to be read across directories. Version 1.7.1 contains a patch.
Severity
8.7 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-24 17:45 UTC
CWE
  • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
Vendor Product Version CPE status
langflow-ai langflow Affected: < 1.7.1
guessed Create a notification for this product.
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 4c0d1f4c-4339-4ad0-bfc9-2502056915b3

Vulnerability ID: CVE-2026-33497

Status: Confirmed

Status Updated: 2026-08-11 12:08 UTC

Exploited: Yes

Timestamps
First Seen: 2026-08-11
Asserted: 2026-08-11
Scope
Notes: Langflow: /profile_pictures/{folder_name}/{file_name} endpoint file reading | Affected: langflow-ai / langflow | CVSS: 8.7 (HIGH) | EPSS: 0.19584 | 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: /profile_pictures/{folder_name}/{file_name} endpoint file reading
Vendor langflow-ai
Product langflow
Added Date 2026-08-11T12:08:51.170Z
Cvss Score 8.7
Epss Score 0.19584
Cvss Severity HIGH
Epss Percentile 0.97122
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-08-11 13:00 UTC | Updated: 2026-08-11 13:00 UTC
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.