CVE-2026-45833 (GCVE-0-2026-45833)

Vulnerability from cvelistv5 – Published: 2026-06-12 15:16 – Updated: 2026-07-31 12:04
VLAI
Summary
A code injection vulnerability in version 0.4.17 or later of the ChromaDB Python project allows an authenticated attacker to run arbitrary code on the server by sending a malicious model repository and trust_remote_code set to true in the /api/v2/tenants/default_tenant/databases/default_database/collections/{collection_id} if they have the UPDATE_COLLECTION permission.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-12 15:57 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version CPE status
Chroma ChromaDB Affected: 0.4.17 , ≤ * (custom)
guessed Create a notification for this product.
Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3     cpe:/a:redhat:enterprise_linux_ai:3
Create a notification for this product.
Red Hat Red Hat OpenShift AI (RHOAI)     cpe:/a:redhat:openshift_ai
Create a notification for this product.
Show details on NVD website

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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.

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Detection rules are retrieved from Rulezet.

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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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