Wavlink QUANTUM D3G WL-WN530HG3 M30HG3_V240730 login.cgi referrer stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.7 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Wavlink QUANTUM D3G WL-WN530HG3 M30HG3_V240730. The impacted element is an unknown function of the file login.cgi. Performing a manipulation of the argument referrer results in stack-based overflow. This vulnerability is known as CVE-2025-61128. No exploit is available.
Details
A vulnerability was found in Wavlink QUANTUM D3G WL-WN530HG3 M30HG3_V240730. It has been classified as critical. This affects some unknown processing of the file login.cgi. The manipulation of the argument referrer 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:
Stack-based buffer overflow vulnerability in WAVLINK QUANTUM D3G/WL-WN530HG3 firmware M30HG3_V240730, and possibly other wavlink models allows attackers to execute arbitrary code via crafted referrer value POST to login.cgi.
It is possible to read the advisory at gist.github.com. This vulnerability is uniquely identified as CVE-2025-61128 since 09/26/2025. The exploitability is told to be easy. 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 10/28/2025).
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
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.0VulDB Meta Temp Score: 7.7
VulDB Base Score: 8.0
VulDB Temp Score: 7.7
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: 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
09/26/2025 CVE reserved10/28/2025 Advisory disclosed
10/28/2025 VulDB entry created
10/28/2025 VulDB entry last update
Sources
Advisory: gist.github.comStatus: Not defined
CVE: CVE-2025-61128 (🔒)
GCVE (CVE): GCVE-0-2025-61128
GCVE (VulDB): GCVE-100-330315
Entry
Created: 10/28/2025 16:23Changes: 10/28/2025 16:23 (54)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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