Siemens SINEMA Remote Connect Server up to 3.0 SP1 HTTP Security Header clickjacking
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Siemens SINEMA Remote Connect Server up to 3.0 SP1. This issue affects some unknown processing of the component HTTP Security Header Handler. This manipulation causes clickjacking. This vulnerability is handled as CVE-2022-27220. The attack can be initiated remotely. There is not any exploit available. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in Siemens SINEMA Remote Connect Server up to 3.0 SP1. It has been declared as problematic. Affected by this vulnerability is some unknown functionality of the component HTTP Security Header Handler. The manipulation with an unknown input leads to a clickjacking vulnerability. The CWE definition for the vulnerability is CWE-451. The user interface (UI) does not properly represent critical information to the user, allowing the information - or its source - to be obscured or spoofed. This is often a component in phishing attacks. As an impact it is known to affect integrity. The summary by CVE is:
A vulnerability has been identified in SINEMA Remote Connect Server (All versions < V3.0 SP2). Affected application is missing general HTTP security headers in the web server configured on port 6220. This could aid attackers by making the servers more prone to clickjacking, channel downgrade attacks and other similar client-based attack vectors.
The weakness was released 06/15/2022 as ssa-911567. It is possible to read the advisory at cert-portal.siemens.com. This vulnerability is known as CVE-2022-27220 since 03/15/2022. 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 T1566.003 according to MITRE ATT&CK.
Applying the patch 3.0 SP2 is able to eliminate this problem.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.siemens.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: ClickjackingCWE: CWE-451
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Patch: 3.0 SP2
Timeline
03/15/2022 🔍06/15/2022 🔍
06/15/2022 🔍
06/15/2022 🔍
Sources
Vendor: siemens.comAdvisory: ssa-911567
Status: Confirmed
CVE: CVE-2022-27220 (🔍)
GCVE (CVE): GCVE-0-2022-27220
GCVE (VulDB): GCVE-100-201931
Entry
Created: 06/15/2022 10:29Changes: 06/15/2022 10:29 (41)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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