CVE-2024-2511 (GCVE-0-2024-2511)
Vulnerability from cvelistv5 – Published: 2024-04-08 13:51 – Updated: 2026-05-12 11:30
VLAI
EPSS
VEX
Title
Unbounded memory growth with session handling in TLSv1.3
Summary
Issue summary: Some non-default TLS server configurations can cause unbounded
memory growth when processing TLSv1.3 sessions
Impact summary: An attacker may exploit certain server configurations to trigger
unbounded memory growth that would lead to a Denial of Service
This problem can occur in TLSv1.3 if the non-default SSL_OP_NO_TICKET option is
being used (but not if early_data support is also configured and the default
anti-replay protection is in use). In this case, under certain conditions, the
session cache can get into an incorrect state and it will fail to flush properly
as it fills. The session cache will continue to grow in an unbounded manner. A
malicious client could deliberately create the scenario for this failure to
force a Denial of Service. It may also happen by accident in normal operation.
This issue only affects TLS servers supporting TLSv1.3. It does not affect TLS
clients.
The FIPS modules in 3.2, 3.1 and 3.0 are not affected by this issue. OpenSSL
1.0.2 is also not affected by this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-09 15:14 UTC
CWE
- CWE-1325 - Improperly Controlled Sequential Memory Allocation
Assigner
References
15 references
Impacted products
32 products
| Vendor | Product | Version | |
|---|---|---|---|
| OpenSSL | OpenSSL |
Affected:
3.2.0 , < 3.2.2
(semver)
Affected: 3.1.0 , < 3.1.6 (semver) Affected: 3.0.0 , < 3.0.14 (semver) Affected: 1.1.1 , < 1.1.1y (custom) |
|
| Siemens | RUGGEDCOM RM1224 LTE(4G) EU |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | RUGGEDCOM RM1224 LTE(4G) NAM |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | RUGGEDCOM RST2428P |
Affected:
0 , < V3.1
(custom)
|
|
| Siemens | SCALANCE M804PB |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M812-1 ADSL-Router |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M816-1 ADSL-Router |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M826-2 SHDSL-Router |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M874-2 |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M874-3 |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M874-3 3G-Router (CN) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M876-3 |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M876-3 (ROK) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M876-4 |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M876-4 (EU) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE M876-4 (NAM) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM853-1 (A1) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM853-1 (B1) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM853-1 (EU) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM856-1 (A1) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM856-1 (B1) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM856-1 (CN) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM856-1 (EU) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE MUM856-1 (RoW) |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE S615 EEC LAN-Router |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE S615 LAN-Router |
Affected:
0 , < V8.2
(custom)
|
|
| Siemens | SCALANCE XC-300/XR-300/XC-400/XR-500WG/XR-500 family |
Unaffected:
0 , < *
(custom)
|
|
| Siemens | SCALANCE XCM-/XRM-/XCH-/XRH-300 family |
Affected:
0 , < V3.1
(custom)
|
|
| Siemens | SIMATIC S7-1500 TM MFP - GNU/Linux subsystem |
Affected:
0 , < *
(custom)
|
|
| Siemens | SIMATIC S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.0 , < V3.1.5
(custom)
|
|
| Siemens | SIMATIC S7-1500 CPU 1518F-4 PN/DP MFP |
Affected:
V3.1.0 , < V3.1.5
(custom)
|
|
| Siemens | SIPLUS S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.0 , < V3.1.5
(custom)
|
Date Public
2024-04-08 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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