DoS via max_recursion_depth Bypass in google.protobuf.json_format.ParseDict()
CVE-2026-0994 Published on January 23, 2026

Denial of Service in Python Protobuf
A denial-of-service (DoS) vulnerability exists in google.protobuf.json_format.ParseDict() in Python, where the max_recursion_depth limit can be bypassed when parsing nested google.protobuf.Any messages. Due to missing recursion depth accounting inside the internal Any-handling logic, an attacker can supply deeply nested Any structures that bypass the intended recursion limit, eventually exhausting Pythons recursion stack and causing a RecursionError.

NVD

Vulnerability Analysis

CVE-2026-0994 is exploitable with network access, and does not require authorization privileges or user interaction. 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 and integrity, and a high impact on availability.

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

Weakness Type

What is a Stack Exhaustion Vulnerability?

The product does not properly control the amount of recursion which takes place, consuming excessive resources, such as allocated memory or the program stack.

CVE-2026-0994 has been classified to as a Stack Exhaustion vulnerability or weakness.


Products Associated with CVE-2026-0994

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Affected Versions

Python Protobuf: Red Hat Ansible Automation Platform 2.5 for RHEL 8: Red Hat Ansible Automation Platform 2.5 for RHEL 9: Red Hat Ansible Automation Platform 2.6 for RHEL 9: Red Hat Enterprise Linux 10: Red Hat Enterprise Linux 10.0 Extended Update Support: Red Hat Enterprise Linux 9: Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions: Red Hat Enterprise Linux 9.2 Update Services for SAP Solutions: Red Hat Enterprise Linux 9.4 Extended Update Support: Red Hat Enterprise Linux 9.6 Extended Update Support: Red Hat AI Inference Server 3.2: Red Hat AI Inference Server 3.2: Red Hat AI Inference Server 3.3: Red Hat AI Inference Server 3.3: Red Hat AI Inference Server 3.3: Red Hat AI Inference Server 3.3: Red Hat AMQ Clients: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Hardened Images: Red Hat OpenStack Platform 16.2:

Exploit Probability

EPSS
0.35%
Percentile
26.79%

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.