Grafana Snapshot Delete Auth Bypass in 9.5-10.3.5
CVE-2024-1313 Published on March 26, 2024

Users outside an organization can delete a snapshot with its key
It is possible for a user in a different organization from the owner of a snapshot to bypass authorization and delete a snapshot by issuing a DELETE request to /api/snapshots/<key> using its view key. This functionality is intended to only be available to individuals with the permission to write/edit to the snapshot in question, but due to a bug in the authorization logic, deletion requests issued by an unprivileged user in a different organization than the snapshot owner are treated as authorized. Grafana Labs would like to thank Ravid Mazon and Jay Chen of Palo Alto Research for discovering and disclosing this vulnerability. This issue affects Grafana: from 9.5.0 before 9.5.18, from 10.0.0 before 10.0.13, from 10.1.0 before 10.1.9, from 10.2.0 before 10.2.6, from 10.3.0 before 10.3.5.

Github Repository NVD

Vulnerability Analysis

CVE-2024-1313 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, a high impact on integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
HIGH
Availability Impact:
NONE

Weakness Type

What is an Insecure Direct Object Reference / IDOR Vulnerability?

The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.

CVE-2024-1313 has been classified to as an Insecure Direct Object Reference / IDOR vulnerability or weakness.


Products Associated with CVE-2024-1313

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Affected Versions

Grafana:

Exploit Probability

EPSS
0.02%
Percentile
5.45%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.