| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in ZkTeco ZAM170-NF 1.8.25-7354-Ver1.0.0. This vulnerability affects unknown code. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2023-3942. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as critical, has been found in ZkTeco ZAM170-NF 1.8.25-7354-Ver1.0.0. This issue affects an unknown code. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An 'SQL Injection' vulnerability, due to improper neutralization of special elements used in SQL commands, exists in ZKTeco-based OEM devices. This vulnerability allows an attacker to, in some cases, impersonate another user or perform unauthorized actions. In other instances, it enables the attacker to access user data and system parameters from the database. This issue affects ZkTeco-based OEM devices (ZkTeco ProFace X, Smartec ST-FR043, Smartec ST-FR041ME and possibly others) with firmware ZAM170-NF-1.8.25-7354-Ver1.0.0 and possibly other, Standalone service v. 2.1.6-20200907 and possibly others.
The weakness was disclosed by Georgy Kiguradze as K-ZkTeco-2023-005. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2023-3942 since 07/25/2023. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/21/2024). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.3
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (Kaspersky Labs): 🔍
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: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/25/2023 🔍05/21/2024 🔍
05/21/2024 🔍
05/21/2024 🔍
Sources
Advisory: K-ZkTeco-2023-005Researcher: Georgy Kiguradze
Status: Not defined
CVE: CVE-2023-3942 (🔍)
GCVE (CVE): GCVE-0-2023-3942
GCVE (VulDB): GCVE-100-265367
Entry
Created: 05/21/2024 16:02Changes: 05/21/2024 16:02 (63)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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