TP-Link TL-WDR7660 1.0 rtRuleJsonToBin string name stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in TP-Link TL-WDR7660 1.0. The affected element is the function rtRuleJsonToBin. This manipulation of the argument string name causes stack-based overflow.
The identification of this vulnerability is CVE-2024-48712. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in TP-Link TL-WDR7660 1.0. It has been declared as critical. Affected by this vulnerability is the function rtRuleJsonToBin. The manipulation of the argument string name 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:
In TP-Link TL-WDR7660 1.0, the rtRuleJsonToBin function handles the parameter string name without checking it, which can lead to stack overflow vulnerabilities.
The advisory is shared at github.com. This vulnerability is known as CVE-2024-48712 since 10/08/2024. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. The price 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.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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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| 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: 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-2024-48712 (🔍)
GCVE (CVE): GCVE-0-2024-48712
GCVE (VulDB): GCVE-100-280429
Entry
Created: 10/16/2024 00:41Changes: 10/16/2024 00:41 (55)
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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