Huawei Home Gateway WS318 up to V100R001C01B022 Random Number Generator entropy

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Huawei Home Gateway WS318 up to V100R001C01B022. Affected by this issue is some unknown functionality of the component Random Number Generator. Performing a manipulation results in entropy. This vulnerability is reported as CVE-2014-9690. The attack may be carried out on the physical device. No exploit exists.
Details
A vulnerability was found in Huawei Home Gateway WS318 up to V100R001C01B022. It has been classified as problematic. This affects an unknown functionality of the component Random Number Generator. The manipulation with an unknown input leads to a entropy vulnerability. CWE is classifying the issue as CWE-332. The lack of entropy available for, or used by, a Pseudo-Random Number Generator (PRNG) can be a stability and security threat. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Huawei home gateways WS318 with software V100R001C01B022 and earlier versions are affected by the PIN offline brute force cracking vulnerability of the WPS protocol because the random number generator (RNG) used in the supplier's solution is not random enough. As a result, brute force cracking the PIN code is easier. After an attacker cracks the PIN, the attacker can access the Internet via the cracked device.
The bug was discovered 12/24/2014. The weakness was disclosed 04/02/2017 (Website). The advisory is shared at huawei.com. This vulnerability is uniquely identified as CVE-2014-9690 since 03/13/2015. The exploitability is told to be difficult. An attack has to be approached locally. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1600.001 for this issue.
The vulnerability was handled as a non-public zero-day exploit for at least 830 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.huawei.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 3.9
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD 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: 🔍
NVD Base Score: 🔍
Exploiting
Class: EntropyCWE: CWE-332 / CWE-331 / CWE-330
CAPEC: 🔍
ATT&CK: 🔍
Physical: Yes
Local: Yes
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
12/24/2014 🔍03/13/2015 🔍
04/02/2017 🔍
04/02/2017 🔍
04/03/2017 🔍
08/24/2020 🔍
Sources
Vendor: huawei.comAdvisory: huawei.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2014-9690 (🔍)
GCVE (CVE): GCVE-0-2014-9690
GCVE (VulDB): GCVE-100-99177
OSVDB: - CVE-2014-9690 - Huawei - WS318 - Brute Force Issue
Entry
Created: 04/03/2017 08:57Updated: 08/24/2020 18:28
Changes: 04/03/2017 08:57 (57), 08/24/2020 18:28 (3)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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