TP-Link TL-WDR7660 1.0 wlanTimerRuleJsonToBin string name stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in TP-Link TL-WDR7660 1.0. This issue affects the function wlanTimerRuleJsonToBin. Performing a manipulation of the argument string name results in stack-based overflow.
This vulnerability is known as CVE-2024-48710. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as critical, was found in TP-Link TL-WDR7660 1.0. This affects the function wlanTimerRuleJsonToBin. The manipulation of the argument string name 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:
In TP-Link TL-WDR7660 1.0, the wlanTimerRuleJsonToBin function handles the parameter string name without checking it, which can lead to stack overflow vulnerabilities.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-48710 since 10/08/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/16/2024).
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
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.tp-link.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.8VulDB Meta Temp Score: 8.5
VulDB Base Score: 8.8
VulDB Temp Score: 8.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
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: No
Local: No
Remote: Yes
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
10/08/2024 🔍10/15/2024 🔍
10/16/2024 🔍
10/16/2024 🔍
Sources
Vendor: tp-link.comAdvisory: github.com
Status: Not defined
CVE: CVE-2024-48710 (🔍)
GCVE (CVE): GCVE-0-2024-48710
GCVE (VulDB): GCVE-100-280515
Entry
Created: 10/16/2024 01:12Changes: 10/16/2024 01:12 (55)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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