Nortek Linear eMerge E3 up to 0.32-09c cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Nortek Linear eMerge E3 up to 0.32-09c and classified as problematic. This issue affects some unknown processing. This manipulation causes cross site scripting. The identification of this vulnerability is CVE-2022-38628. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability classified as problematic was found in Nortek Linear eMerge E3 up to 0.32-09c (Automation Software). Affected by this vulnerability is an unknown part. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:
Nortek Linear eMerge E3-Series 0.32-08f, 0.32-07p, 0.32-07e, 0.32-09c, 0.32-09b, 0.32-09a, and 0.32-08e were discovered to contain a cross-site scripting (XSS) vulnerability which is chained with a local session fixation. This vulnerability allows attackers to escalate privileges via unspecified vectors.
The weakness was shared 12/14/2022. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2022-38628 since 08/22/2022. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 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.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-41205). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.7
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/22/2022 🔍12/14/2022 🔍
12/14/2022 🔍
06/23/2026 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2022-38628 (🔍)
GCVE (CVE): GCVE-0-2022-38628
GCVE (VulDB): GCVE-100-215659
EUVD: 🔍
Entry
Created: 12/14/2022 08:53Updated: 06/23/2026 14:52
Changes: 12/14/2022 08:53 (38), 01/09/2023 09:15 (11), 06/23/2026 14:52 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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