Lenovo Windows 7 PC Preload/Windows 8 PC Preload 2012/2013/2014 System Recovery Bootloader stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Lenovo Windows 7 PC Preload and Windows 8 PC Preload 2012/2013/2014. It has been classified as critical. Affected by this issue is some unknown functionality of the component System Recovery Bootloader. Performing a manipulation results in stack-based overflow. This vulnerability is identified as CVE-2024-23594. The attack is only possible with local access. There is not any exploit available.
Details
A vulnerability classified as critical has been found in Lenovo Windows 7 PC Preload and Windows 8 PC Preload 2012/2013/2014. This affects an unknown code block of the component System Recovery Bootloader. The manipulation with an unknown input leads to a stack-based overflow vulnerability. CWE is classifying the issue as CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
A buffer overflow vulnerability was reported in a system recovery bootloader that was part of the Lenovo preloaded Windows 7 and 8 operating systems from 2012 to 2014 that could allow a privileged attacker with local access to execute arbitrary code.
The weakness was released by Zammis Clark. It is possible to read the advisory at support.lenovo.com. This vulnerability is uniquely identified as CVE-2024-23594 since 01/18/2024. The exploitability is told to be difficult. Attacking locally is a requirement. The exploitation needs additional levels of successful authentication. The technical details are unknown and an exploit is not publicly available.
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
Vendor
Name
Version
License
Website
- Vendor: https://www.lenovo.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.4
VulDB Base Score: 6.4
VulDB Temp Score: 6.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.4
CNA Vector (Lenovo Group Ltd.): 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
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
01/18/2024 🔍04/15/2024 🔍
04/15/2024 🔍
04/15/2024 🔍
Sources
Vendor: lenovo.comAdvisory: support.lenovo.com
Researcher: Zammis Clark
Status: Confirmed
CVE: CVE-2024-23594 (🔍)
GCVE (CVE): GCVE-0-2024-23594
GCVE (VulDB): GCVE-100-260811
Entry
Created: 04/15/2024 20:34Changes: 04/15/2024 20:34 (63)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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