| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.09 |
Summary
A vulnerability classified as critical has been found in ZTE ZXHN H168N V2.2.0_PK1.2T2/V2.2.0_PK1.2T5/V2.2.0_PK11T/V2.2.0_PK11T7. This issue affects some unknown processing of the component Access Control. Performing a manipulation results in credentials management. This vulnerability is reported as CVE-2018-7357. The attacker must have access to the local network to execute the attack. Moreover, an exploit is present.
Details
A vulnerability, which was classified as critical, was found in ZTE ZXHN H168N V2.2.0_PK1.2T2/V2.2.0_PK1.2T5/V2.2.0_PK11T/V2.2.0_PK11T7. This affects some unknown processing of the component Access Control. The manipulation with an unknown input leads to a credentials management vulnerability. CWE is classifying the issue as CWE-255. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
ZTE ZXHN H168N product with versions V2.2.0_PK1.2T5, V2.2.0_PK1.2T2, V2.2.0_PK11T7 and V2.2.0_PK11T have an improper access control vulnerability, which may allow an unauthorized user to gain unauthorized access.
The bug was discovered 11/15/2018. The weakness was disclosed 11/14/2018 (Website). It is possible to read the advisory at support.zte.com.cn. This vulnerability is uniquely identified as CVE-2018-7357 since 02/22/2018. The exploitability is told to be easy. Access to the local network is required for this attack to succeed. No form of authentication is needed for exploitation. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1552 according to MITRE ATT&CK.
The exploit is shared for download at exploit-db.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 vulnerability database at Exploit-DB (45972). The entry VDB-126868 is pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.zte.com.cn/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.2VulDB Meta Temp Score: 7.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CNA Base Score: 6.5
CNA Vector (ZTE Corporation): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Credentials managementCWE: CWE-255
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Partially
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
02/22/2018 🔍11/14/2018 🔍
11/14/2018 🔍
11/15/2018 🔍
11/15/2018 🔍
10/16/2024 🔍
Sources
Vendor: zte.com.cnAdvisory: support.zte.com.cn
Status: Not defined
Confirmation: 🔍
CVE: CVE-2018-7357 (🔍)
GCVE (CVE): GCVE-0-2018-7357
GCVE (VulDB): GCVE-100-126867
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 11/15/2018 09:42Updated: 10/16/2024 12:30
Changes: 11/15/2018 09:42 (57), 04/13/2020 09:11 (5), 06/06/2023 15:48 (13), 10/16/2024 12:30 (16)
Complete: 🔍
Cache ID: 216:54A:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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