Siemens SIMATIC WinCC Sm@rtClient up to 1.0.2 TLS cryptographic issue
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Siemens SIMATIC WinCC Sm@rtClient up to 1.0.2 and classified as critical. This affects an unknown function of the component TLS. Performing a manipulation results in cryptographic issue. This vulnerability was named CVE-2017-6870. The attack may be initiated remotely. There is no available exploit. The affected component should be upgraded.
Details
A vulnerability classified as critical has been found in Siemens SIMATIC WinCC Sm@rtClient up to 1.0.2 (SCADA Software). This affects an unknown part of the component TLS. The manipulation with an unknown input leads to a cryptographic issue vulnerability. CWE is classifying the issue as CWE-310. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
A vulnerability was discovered in Siemens SIMATIC WinCC Sm@rtClient for Android (All versions before V1.0.2.2). The existing TLS protocol implementation could allow an attacker to read and modify data within a TLS session while performing a Man-in-the-Middle (MitM) attack.
The bug was discovered 07/13/2017. The weakness was presented 08/08/2017 by Karsten Sohr (Website). It is possible to read the advisory at siemens.com. This vulnerability is uniquely identified as CVE-2017-6870 since 03/13/2017. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of 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 T1600 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 25 days. During that time the estimated underground price was around $5k-$25k.
Upgrading to version 1.0.2.2 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 99582†). See VDB-105004 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
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: 6.5VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.6
VulDB Temp Score: 5.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.4
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cryptographic issueCWE: CWE-310
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: SIMATIC WinCC Sm@rtClient 1.0.2.2
Timeline
03/13/2017 🔍07/13/2017 🔍
07/13/2017 🔍
08/07/2017 🔍
08/08/2017 🔍
08/09/2017 🔍
12/15/2022 🔍
Sources
Vendor: siemens.comAdvisory: ssa-589378
Researcher: Karsten Sohr
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-6870 (🔍)
GCVE (CVE): GCVE-0-2017-6870
GCVE (VulDB): GCVE-100-105003
SecurityFocus: 99582 - Siemens SIMATIC WinCC Sm@rtClient for Android ICSA-17-194-03 Multiple Security Vulnerabilities
See also: 🔍
Entry
Created: 08/09/2017 11:07Updated: 12/15/2022 13:52
Changes: 08/09/2017 11:07 (66), 11/04/2019 19:54 (2), 12/15/2022 13:52 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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