CVE-2025-59789 Vulnerability Analysis & Exploit Details

CVE-2025-59789
Vulnerability Scoring

Analysis In Progress

Attack Complexity Details

Attack Complexity:
Attack Complexity Analysis In Progress
Attack Vector:
Attack Vector Under Analysis
Privileges Required: None
No authentication is required for exploitation.
Scope:
Impact is confined to the initially vulnerable component.
User Interaction: None
No user interaction is necessary for exploitation.

CVE-2025-59789 Details

Status: Received on 01 Dec 2025, 11:15 UTC

Published on: 01 Dec 2025, 11:15 UTC

CVSS Release:

CVE-2025-59789 Vulnerability Summary

CVE-2025-59789: Uncontrolled recursion in the json2pb component in Apache bRPC (version < 1.15.0) on all platforms allows remote attackers to make the server crash via sending deep recursive json data. Root Cause: The bRPC json2pb component uses rapidjson to parse json data from the network. The rapidjson parser uses a recursive parsing method by default. If the input json has a large depth of recursive structure, the parser function may run into stack overflow. Affected Scenarios: Use bRPC server with protobuf message to serve http+json requests from untrusted network. Or directly use JsonToProtoMessage to convert json from untrusted input. How to Fix: (Choose one of the following options) 1. Upgrade bRPC to version 1.15.0, which fixes this issue. 2. Apply this patch: https://github.com/apache/brpc/pull/3099 Note: No matter which option you choose, you should know that the fix introduces a recursion depth limit with default value 100. It affects these functions: ProtoMessageToJson, ProtoMessageToProtoJson, JsonToProtoMessage, and ProtoJsonToProtoMessage. If your requests contain json or protobuf messages that have a depth exceeding the limit, the request will be failed after applying the fix. You can modify the gflag json2pb_max_recursion_depth to change the limit.

Assessing the Risk of CVE-2025-59789

Access Complexity Graph

The exploitability of CVE-2025-59789 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2025-59789

No exploitability data is available for CVE-2025-59789.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2025-59789, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2025-59789, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

Confidentiality: None
CVE-2025-59789 does not compromise confidentiality.
Integrity: None
CVE-2025-59789 does not impact data integrity.
Availability: None
CVE-2025-59789 does not affect system availability.

CVE-2025-59789 References

External References

CWE Common Weakness Enumeration

CWE-674

CAPEC Common Attack Pattern Enumeration and Classification

Serialized Data with Nested Payloads CAPEC-230 Applications often need to transform data in and out of a data format (e.g., XML and YAML) by using a parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. By nesting these structures, causing the data to be repeatedly substituted, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization.
Oversized Serialized Data Payloads CAPEC-231 An adversary injects oversized serialized data payloads into a parser during data processing to produce adverse effects upon the parser such as exhausting system resources and arbitrary code execution.

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