D-Link DIR-825 up to 2.10 apply.cgi sub_4106d4 countdown_time buffer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.9 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in D-Link DIR-825 up to 2.10. Affected by this issue is the function sub_4106d4 of the file apply.cgi. This manipulation of the argument countdown_time causes buffer overflow. This vulnerability only affects products that are no longer supported by the maintainer.
This vulnerability is tracked as CVE-2025-10666. The attack is possible to be carried out remotely. Moreover, an exploit is present.
Details
A vulnerability has been found in D-Link DIR-825 up to 2.10 and classified as critical. Affected by this vulnerability is the function sub_4106d4 of the file apply.cgi. The manipulation of the argument countdown_time with an unknown input leads to a buffer overflow vulnerability. The CWE definition for the vulnerability is CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. As an impact it is known to affect confidentiality, integrity, and availability.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-10666. The exploitation appears to be easy. The attack can be launched remotely. Technical details and also a public exploit are known. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/03/2026).
It is possible to download the exploit at github.com. It is declared as proof-of-concept.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at Exploit-DB (52469) and CERT Bund (WID-SEC-2025-2102). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- D-LINK Router
Product
Type
Vendor
Name
Version
License
Support
Website
- Vendor: https://www.dlink.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 9.1VulDB Meta Temp Score: 8.9
VulDB Base Score: 8.8
VulDB Temp Score: 8.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔒
CNA Base Score: 8.8
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Buffer overflowCWE: CWE-120 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔒
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
09/18/2025 Advisory disclosed09/18/2025 VulDB entry created
02/03/2026 VulDB entry last update
Sources
Vendor: dlink.comAdvisory: github.com
Status: Not defined
CVE: CVE-2025-10666 (🔒)
GCVE (CVE): GCVE-0-2025-10666
GCVE (VulDB): GCVE-100-324787
CERT Bund: WID-SEC-2025-2102 - D-LINK Router: Schwachstelle ermöglicht Codeausführung
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 09/18/2025 07:33Updated: 02/03/2026 23:51
Changes: 09/18/2025 07:33 (58), 09/22/2025 23:53 (7), 02/03/2026 06:29 (1), 02/03/2026 23:51 (41)
Complete: 🔍
Submitter: panda_0x1
Cache ID: 216::103
Submit
Accepted
- Submit #652047: D-Link DIR-825 Rev.B 2.10 Buffer Overflow (by panda_0x1)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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