BINOM3 Universal Multifunctional Electric Power Quality Meter Password hard-coded credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in BINOM3 Universal Multifunctional Electric Power Quality Meter. This issue affects some unknown processing of the component Password Handler. The manipulation leads to hard-coded credentials. This vulnerability is uniquely identified as CVE-2017-5167. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in BINOM3 Universal Multifunctional Electric Power Quality Meter (the affected version is unknown). It has been rated as critical. This issue affects an unknown code of the component Password Handler. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. Using CWE to declare the problem leads to CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered in BINOM3 Universal Multifunctional Electric Power Quality Meter. Users do not have any option to change their own passwords.
The bug was discovered 01/31/2017. The weakness was disclosed 02/13/2017 by Karn Ganeshen (Website). It is possible to read the advisory at securityfocus.com. The identification of this vulnerability is CVE-2017-5167 since 01/03/2017. The attack may be initiated remotely. A simple authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 13 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.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 93028†). The entries VDB-96942, VDB-96944, VDB-96945 and VDB-96946 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.6
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Hard-coded credentialsCWE: CWE-798 / CWE-259 / CWE-255
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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/19/2016 🔍01/03/2017 🔍
01/31/2017 🔍
02/13/2017 🔍
02/13/2017 🔍
02/14/2017 🔍
08/14/2020 🔍
Sources
Advisory: securityfocus.com⛔Researcher: Karn Ganeshen
Status: Not defined
CVE: CVE-2017-5167 (🔍)
GCVE (CVE): GCVE-0-2017-5167
GCVE (VulDB): GCVE-100-96947
SecurityFocus: 93028 - BINOM3 Electric Power Quality Meter Multiple Security Vulnerabilities
OSVDB: - CVE-2017-5167 - BINOM3 - UMEPQM - Credentials Management Issue
See also: 🔍
Entry
Created: 02/14/2017 09:20Updated: 08/14/2020 16:29
Changes: 02/14/2017 09:20 (58), 08/14/2020 16:29 (6)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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