TOTOLINK A7000R 9.1.0u.6115_B20201022 addEffect sPort stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in TOTOLINK A7000R 9.1.0u.6115_B20201022. Affected by this vulnerability is the function addEffect. This manipulation of the argument sPort causes stack-based overflow.
The identification of this vulnerability is CVE-2022-37084. There is no exploit available.
Details
A vulnerability has been found in TOTOLINK A7000R 9.1.0u.6115_B20201022 and classified as critical. Affected by this vulnerability is the function addEffect. The manipulation of the argument sPort with an unknown input leads to a stack-based overflow vulnerability. The CWE definition for the vulnerability is 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). As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
TOTOLINK A7000R V9.1.0u.6115_B20201022 was discovered to contain a stack overflow via the sPort parameter at the addEffect function.
The weakness was shared 08/25/2022. The advisory is shared at github.com. This vulnerability is known as CVE-2022-37084 since 08/01/2022. Technical details are known, but no exploit is available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.totolink.net/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.6VulDB Meta Temp Score: 6.5
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
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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: Partially
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/01/2022 🔍08/25/2022 🔍
08/25/2022 🔍
10/01/2022 🔍
Sources
Vendor: totolink.netAdvisory: github.com
Status: Not defined
CVE: CVE-2022-37084 (🔍)
GCVE (CVE): GCVE-0-2022-37084
GCVE (VulDB): GCVE-100-207229
Entry
Created: 08/25/2022 21:01Updated: 10/01/2022 10:17
Changes: 08/25/2022 21:01 (39), 10/01/2022 10:17 (11)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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