OctoRPKI RPKI Validation Daemon Denial of Service via Long CA Chains
CVE-2022-3616 Published on October 28, 2022

OctoRPKI crash when maximum iterations number is reached
Attackers can create long chains of CAs that would lead to OctoRPKI exceeding its max iterations parameter. In consequence it would cause the program to crash, preventing it from finishing the validation and leading to a denial of service. Credits to Donika Mirdita and Haya Shulman - Fraunhofer SIT, ATHENE, who discovered and reported this vulnerability.

Github Repository NVD

Vulnerability Analysis

CVE-2022-3616 is exploitable with network access, requires user interaction and a small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, with no impact on integrity, and a high impact on availability.

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

Weakness Types

Improper Check for Unusual or Exceptional Conditions

The software does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the software.

Excessive Iteration

The software performs an iteration or loop without sufficiently limiting the number of times that the loop is executed. If the iteration can be influenced by an attacker, this weakness could allow attackers to consume excessive resources such as CPU or memory. In many cases, a loop does not need to be infinite in order to cause enough resource consumption to adversely affect the software or its host system; it depends on the amount of resources consumed per iteration.


Products Associated with CVE-2022-3616

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Affected Versions

Cloudflare OctoRPKI:

Exploit Probability

EPSS
0.40%
Percentile
32.06%

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.