Siemens SIMATIC CP 1543-1 up to 2.0.27 SNMPv1/SNMPv3 input validation
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Siemens SIMATIC CP 1543-1 up to 2.0.27. Affected is an unknown function of the component SNMPv1/SNMPv3. Performing a manipulation results in input validation. This vulnerability is known as CVE-2016-8562. Remote exploitation of the attack is possible. Furthermore, an exploit is available. It is advisable to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, was found in Siemens SIMATIC CP 1543-1 up to 2.0.27 (SCADA Software). This affects an unknown functionality of the component SNMPv1/SNMPv3. The manipulation with an unknown input leads to a input validation vulnerability. CWE is classifying the issue as CWE-20. The product receives input or data, but it does
not validate or incorrectly validates that the input has the
properties that are required to process the data safely and
correctly. This is going to have an impact on availability. The summary by CVE is:
Siemens SIMATIC CP 1543-1 before 2.0.28, when SNMPv3 write access or SNMPv1 is enabled, allows remote authenticated users to cause a denial of service by modifying SNMP variables.
The bug was discovered 11/22/2016. The weakness was published 11/18/2016 with ANSSI (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is uniquely identified as CVE-2016-8562 since 10/07/2016. The exploitability is told to be easy. It is possible to initiate the attack remotely. The successful exploitation needs a authentication. Technical details are unknown but an exploit is available.
It is declared as attacked. The CISA Known Exploited Vulnerabilities Catalog lists this issue since 03/03/2022 with a due date of 03/24/2022:
Apply updates per vendor instructions.Upgrading to version 2.0.28 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 94436†). Similar entry is available at VDB-93674. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.0.5
- 2.0.6
- 2.0.7
- 2.0.8
- 2.0.9
- 2.0.10
- 2.0.11
- 2.0.12
- 2.0.13
- 2.0.14
- 2.0.15
- 2.0.16
- 2.0.17
- 2.0.18
- 2.0.19
- 2.0.20
- 2.0.21
- 2.0.22
- 2.0.23
- 2.0.24
- 2.0.25
- 2.0.26
- 2.0.27
License
Website
- Vendor: https://www.siemens.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.7
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 7.5
CNA Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Input validationCWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Attacked
EPSS Score: 🔍
EPSS Percentile: 🔍
KEV Added: 🔍
KEV Due: 🔍
KEV Remediation: 🔍
KEV Ransomware: 🔍
KEV Notice: 🔍
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 CP 1543-1 2.0.28
Timeline
10/07/2016 🔍11/18/2016 🔍
11/18/2016 🔍
11/18/2016 🔍
11/19/2016 🔍
11/22/2016 🔍
02/04/2025 🔍
Sources
Vendor: siemens.comAdvisory: ssa-672373⛔
Organization: ANSSI
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2016-8562 (🔍)
GCVE (CVE): GCVE-0-2016-8562
GCVE (VulDB): GCVE-100-93675
SecurityFocus: 94436 - Siemens SIMATIC CP 1543-1 Privilege Escalation and Denial of Service Vulnerabilities
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 11/19/2016 09:05Updated: 02/04/2025 23:57
Changes: 11/19/2016 09:05 (52), 06/03/2019 10:44 (14), 10/04/2022 09:25 (4), 04/23/2024 12:57 (26), 07/24/2024 16:40 (6), 09/09/2024 22:29 (1), 02/04/2025 23:57 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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