CWE-1325
Improperly Controlled Sequential Memory Allocation
The product manages a group of objects or resources and performs a separate memory allocation for each object, but it does not properly limit the total amount of memory that is consumed by all of the combined objects.
CVE-2023-52891 (GCVE-0-2023-52891)
Vulnerability from cvelistv5
Published
2024-07-09 12:04
Modified
2025-08-27 20:42
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1325 - Improperly Controlled Sequential Memory Allocation
Summary
A vulnerability has been identified in SIMATIC Energy Manager Basic (All versions < V7.5), SIMATIC Energy Manager PRO (All versions < V7.5), SIMATIC IPC DiagBase (All versions), SIMATIC IPC DiagMonitor (All versions), SIMIT V10 (All versions), SIMIT V11 (All versions < V11.1). Unified Automation .NET based OPC UA Server SDK before 3.2.2 used in Siemens products are affected by a similar vulnerability as documented in CVE-2023-27321 for the OPC Foundation UA .NET Standard implementation. A successful attack may lead to high load situation and memory exhaustion, and may block the server.
References
Impacted products
| Vendor | Product | Version | |||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▼ | Siemens | SIMATIC Energy Manager Basic |
Version: 0 < V7.5 |
||||||||||||||||||||||||||
|
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CVE-2025-2240 (GCVE-0-2025-2240)
Vulnerability from cvelistv5
Published
2025-03-12 14:55
Modified
2025-08-04 14:00
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1325 - Improperly Controlled Sequential Memory Allocation
Summary
A flaw was found in Smallrye, where smallrye-fault-tolerance is vulnerable to an out-of-memory (OOM) issue. This vulnerability is externally triggered when calling the metrics URI. Every call creates a new object within meterMap and may lead to a denial of service (DoS) issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://access.redhat.com/errata/RHSA-2025:3376 | vendor-advisory, x_refsource_REDHAT | |
| https://access.redhat.com/errata/RHSA-2025:3541 | vendor-advisory, x_refsource_REDHAT | |
| https://access.redhat.com/errata/RHSA-2025:3543 | vendor-advisory, x_refsource_REDHAT | |
| https://access.redhat.com/security/cve/CVE-2025-2240 | vdb-entry, x_refsource_REDHAT | |
| https://bugzilla.redhat.com/show_bug.cgi?id=2351452 | issue-tracking, x_refsource_REDHAT | |
| https://github.com/advisories/GHSA-gfh6-3pqw-x2j4 |
Impacted products
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Mitigation
Phase: Implementation
Description:
- Ensure multiple allocations of the same kind of object are properly tracked - possibly across multiple sessions, requests, or messages. Define an appropriate strategy for handling requests that exceed the limit, and consider supporting a configuration option so that the administrator can extend the amount of memory to be used if necessary.
Mitigation
Phase: Operation
Description:
- Run the program using system-provided resource limits for memory. This might still cause the program to crash or exit, but the impact to the rest of the system will be minimized.
CAPEC-130: Excessive Allocation
An adversary causes the target to allocate excessive resources to servicing the attackers' request, thereby reducing the resources available for legitimate services and degrading or denying services. Usually, this attack focuses on memory allocation, but any finite resource on the target could be the attacked, including bandwidth, processing cycles, or other resources. This attack does not attempt to force this allocation through a large number of requests (that would be Resource Depletion through Flooding) but instead uses one or a small number of requests that are carefully formatted to force the target to allocate excessive resources to service this request(s). Often this attack takes advantage of a bug in the target to cause the target to allocate resources vastly beyond what would be needed for a normal request.