Matrix SSL/Rambus TLS Toolkit Client Hello Pre-Shared Key Extension Parser tls13VerifyBinder/tls13TranscriptHashUpdate integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Matrix SSL and Rambus TLS Toolkit. It has been classified as problematic. The impacted element is the function tls13VerifyBinder/tls13TranscriptHashUpdate of the component Client Hello Pre-Shared Key Extension Parser. This manipulation causes integer overflow.
This vulnerability is tracked as CVE-2023-24609. No exploit exists.
Details
A vulnerability has been found in Matrix SSL and Rambus TLS Toolkit (unknown version) and classified as problematic. Affected by this vulnerability is the function tls13VerifyBinder/tls13TranscriptHashUpdate of the component Client Hello Pre-Shared Key Extension Parser. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. 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. As an impact it is known to affect availability. The summary by CVE is:
Matrix SSL 4.x through 4.6.0 and Rambus TLS Toolkit have a length-subtraction integer overflow for Client Hello Pre-Shared Key extension parsing in the TLS 1.3 server. An attacked device calculates an SHA-2 hash over at least 65 KB (in RAM). With a large number of crafted TLS messages, the CPU becomes heavily loaded. This occurs in tls13VerifyBinder and tls13TranscriptHashUpdate.
The weakness was disclosed 12/22/2023. It is possible to read the advisory at rambus.com. This vulnerability is known as CVE-2023-24609 since 01/30/2023. Technical details of the vulnerability are known, but there is no available exploit.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.5VulDB Meta Temp Score: 5.5
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/30/2023 🔍12/22/2023 🔍
12/22/2023 🔍
01/18/2024 🔍
Sources
Advisory: rambus.comStatus: Not defined
CVE: CVE-2023-24609 (🔍)
GCVE (CVE): GCVE-0-2023-24609
GCVE (VulDB): GCVE-100-248827
Entry
Created: 12/22/2023 07:09Updated: 01/18/2024 08:20
Changes: 12/22/2023 07:09 (36), 01/18/2024 08:20 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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