Tenda W6-S 1.0.0.4 /goform/WifiMacFilterGet wl_radio stack-based overflow

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.4$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Tenda W6-S 1.0.0.4. This impacts an unknown function of the file /goform/WifiMacFilterGet. The manipulation of the argument wl_radio leads to stack-based overflow. This vulnerability is uniquely identified as CVE-2022-45499. No exploit exists.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Tenda W6-S 1.0.0.4. This issue affects some unknown functionality of the file /goform/WifiMacFilterGet. The manipulation of the argument wl_radio with an unknown input leads to a stack-based overflow vulnerability. Using CWE to declare the problem leads to 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). Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Tenda W6-S v1.0.0.4(510) was discovered to contain a stack overflow via the wl_radio parameter at /goform/WifiMacFilterGet.

The weakness was disclosed 12/08/2022. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-45499 since 11/21/2022. 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.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Stack-based overflow
CWE: 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-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

11/21/2022 🔍
12/08/2022 +17 days 🔍
12/08/2022 +0 days 🔍
04/24/2025 +868 days 🔍

Sourcesinfo

Vendor: tenda.com.cn

Advisory: github.com
Status: Not defined

CVE: CVE-2022-45499 (🔍)
GCVE (CVE): GCVE-0-2022-45499
GCVE (VulDB): GCVE-100-215147

Entryinfo

Created: 12/08/2022 20:04
Updated: 04/24/2025 05:08
Changes: 12/08/2022 20:04 (39), 01/01/2023 16:04 (11), 04/24/2025 05:08 (17)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Want to know what is going to be exploited?

We predict KEV entries!