Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2025-54472 is a high-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Apache Brpc. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked in the top 35% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SC-5 (Denial-of-service Protection) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Apache bRPC contains an unlimited memory allocation flaw in its Redis protocol parser affecting all versions prior to 1.14.1 on every platform. The parser allocates memory for arrays or strings using integer sizes read directly from the network; excessively large values trigger a bad_alloc condition that crashes the process. Version 1.14.0 attempted to add a size limit but introduced an integer-overflow bypass, leaving it equally vulnerable. The issue is tracked as CWE-190 and CWE-400 with a CVSS 3.1 score of 7.5.
An unauthenticated network attacker can send a single specially crafted Redis-protocol packet to any bRPC instance that acts as a Redis server for untrusted clients or as a Redis client connecting to untrusted servers, resulting in an immediate denial-of-service crash. No authentication or user interaction is required.
Public advisories direct users to upgrade to bRPC 1.14.1 or to apply the patch from GitHub pull request 3050. The fix caps each allocation at a default of 64 MiB (tunable via the redis_max_allocation_size gflag) to prevent oversized requests from reaching the allocator.
EPSS remains flat at 0.0140 with no material increase after disclosure, indicating limited observed exploitation interest to date.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-24682
Vulnerability Data
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…
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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 ( https://github.com/apache/brpc/pull/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.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.2.6
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (static analysis, fuzzing, unit tests) directly finds integer overflow defects before deployment.
SC-5 directly limits the effects of resource-exhaustion events that constitute uncontrolled consumption.
SC-6 enforces explicit allocation limits on resources, structurally preventing the weakness from occurring.
Secure engineering principles require use of safe arithmetic constructs or language features that structurally eliminate integer overflow during calculation.
Process isolation confines resource consumption to separate domains, reducing blast radius without stopping the root flaw.
Input validation enforces bounds on values before arithmetic, stopping the conditions that trigger overflow or wraparound.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Explicitly requires monitoring and maintaining resource capacity, directly addressing uncontrolled consumption to preserve availability.
Secure SDLC practices directly require use of safe arithmetic, bounds checks, and testing that prevent integer overflows.
Continuous monitoring of computing resources can detect resource exhaustion but does not itself enforce allocation limits.
Resilience mechanisms such as avoiding single points of failure indirectly reduce impact of resource exhaustion.
Hardened configuration baselines can include resource quotas and limits that constrain consumption.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Resource-utilization monitoring and alerting on bottlenecks or overloads limits the impact of denial-of-service or resource-exhaustion attacks.
Security testing in development can detect integer overflows before release.
By continuously monitoring utilization, stress-testing peak loads, and maintaining documented plans to scale or throttle resources, the control directly limits an attacker’s ability to drive a system into uncontrolled resource exhaustion.
Pre-agreed severity-based prioritization and resource allocation during incident triage reduce the likelihood that an attacker-induced resource exhaustion will overwhelm the organization before corrective action is taken.
Business-continuity plans that include resource-management controls reduce the likelihood that an attacker can trigger uncontrolled resource consumption by forcing the system into a degraded or fallback state.
Defining RTOs and capacity requirements for ICT services during business-impact analysis forces organizations to provision sufficient resources and throttling mechanisms, reducing the likelihood that an attacker can induce denial-of-service through uncontrolled resource consumption.