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Unlimited memory allocation in redis protocol parser in...

High severity Unreviewed Published Aug 14, 2025 to the GitHub Advisory Database • Updated Aug 14, 2025

Package

No package listedSuggest a package

Affected versions

Unknown

Patched versions

Unknown

Description

Unlimited memory allocation in redis protocol parser in Apache bRPC (all versions < 1.14.1) on all platforms allows attackers to crash the service via network.

Root Cause: In the bRPC Redis protocol parser code, memory for arrays or strings of corresponding sizes is allocated based on the integers read from the network. If the integer read from the network is too large, it may cause a bad alloc error and lead to the program crashing. Attackers can exploit this feature by sending special data packets to the bRPC service to carry out a denial-of-service attack on it.
The bRPC 1.14.0 version tried to fix this issue by limited the memory allocation size, however, the limitation checking code is not well implemented that may cause integer overflow and evade such limitation. So the 1.14.0 version is also vulnerable, although the integer range that affect version 1.14.0 is different from that affect version < 1.14.0.

Affected scenarios: Using bRPC as a Redis server to provide network services to untrusted clients, or using bRPC as a Redis client to call untrusted Redis services.

How to Fix: we provide two methods, you can choose one of them:

  1. Upgrade bRPC to version 1.14.1.
  2. Apply this patch ( apache/brpc#3050 ) manually.

No matter you choose which method, you should note that the patch limits the maximum length of memory allocated for each time in the bRPC Redis parser. The default limit is 64M. If some of you redis request or response have a size larger than 64M, you might encounter error after upgrade. For such case, you can modify the gflag redis_max_allocation_size to set a larger limit.

References

Published by the National Vulnerability Database Aug 14, 2025
Published to the GitHub Advisory Database Aug 14, 2025
Last updated Aug 14, 2025

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(35th percentile)

Weaknesses

Integer Overflow or Wraparound

The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. Learn more on MITRE.

CVE ID

CVE-2025-54472

GHSA ID

GHSA-fgf7-x5pv-vcc3

Source code

No known source code

Dependabot alerts are not supported on this advisory because it does not have a package from a supported ecosystem with an affected and fixed version.

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