Planet Technology FW-WGS-804HPT 1.305b241111 web_tacplus_serverEdit_post tacIp stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Planet Technology FW-WGS-804HPT 1.305b241111. It has been classified as critical. The impacted element is the function web_tacplus_serverEdit_post. This manipulation of the argument tacIp causes stack-based overflow.
This vulnerability is handled as CVE-2025-44883. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability has been found in Planet Technology FW-WGS-804HPT 1.305b241111 and classified as critical. Affected by this vulnerability is the function web_tacplus_serverEdit_post. The manipulation of the argument tacIp 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:
FW-WGS-804HPT v1.305b241111 was discovered to contain a stack overflow via the tacIp parameter in the web_tacplus_serverEdit_post function.
It is possible to read the advisory at lafdrew.github.io. This vulnerability is known as CVE-2025-44883 since 04/22/2025. The exploitation appears to be easy. The attack can be launched 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 05/21/2025).
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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.8VulDB Meta Temp Score: 8.8
VulDB Base Score: 8.8
VulDB Temp Score: 8.8
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/22/2025 🔍05/21/2025 🔍
05/21/2025 🔍
05/21/2025 🔍
Sources
Advisory: lafdrew.github.ioStatus: Not defined
CVE: CVE-2025-44883 (🔍)
GCVE (CVE): GCVE-0-2025-44883
GCVE (VulDB): GCVE-100-309811
Entry
Created: 05/21/2025 08:22Changes: 05/21/2025 08:22 (54)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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