Dapr API Token Auth Bypass (pre-1.10.9/1.11.2)
CVE-2023-37918 Published on July 21, 2023

API token authentication bypass in HTTP endpoints in Dapr
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge. A vulnerability has been found in Dapr that allows bypassing API token authentication, which is used by the Dapr sidecar to authenticate calls coming from the application, with a well-crafted HTTP request. Users who leverage API token authentication are encouraged to upgrade Dapr to 1.10.9 or to 1.11.2. This vulnerability impacts Dapr users who have configured API token authentication. An attacker could craft a request that is always allowed by the Dapr sidecar over HTTP, even if the `dapr-api-token` in the request is invalid or missing. The issue has been fixed in Dapr 1.10.9 or to 1.11.2. There are no known workarounds for this vulnerability.

Github Repository NVD

Vulnerability Analysis

CVE-2023-37918 is exploitable with network access, and requires user privileges. This vulnerability is considered to have a low attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2023-37918. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

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

Weakness Type

What is an authentification Vulnerability?

When an actor claims to have a given identity, the software does not prove or insufficiently proves that the claim is correct.

CVE-2023-37918 has been classified to as an authentification vulnerability or weakness.


Products Associated with CVE-2023-37918

Want to know whenever a new CVE is published for Linux Foundation Dapr? stack.watch will email you.

 

Affected Versions

dapr: dapr:

Exploit Probability

EPSS
1.39%
Percentile
69.43%

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.