Siemens SIMATIC CP 44x-1 RNA up to 1.4.0 Port 102 Service improper authentication

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.5$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in Siemens SIMATIC CP 44x-1 RNA up to 1.4.0. This affects an unknown part of the component Port 102 Service. Performing a manipulation results in improper authentication. This vulnerability is reported as CVE-2017-6868. The attack is possible to be carried out remotely. No exploit exists. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical has been found in Siemens SIMATIC CP 44x-1 RNA up to 1.4.0 (SCADA Software). This affects some unknown processing of the component Port 102 Service. The manipulation with an unknown input leads to a improper authentication vulnerability. CWE is classifying the issue as CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

An Improper Authentication issue was discovered in Siemens SIMATIC CP 44x-1 RNA, all versions prior to 1.4.1. An unauthenticated remote attacker may be able to perform administrative actions on the Communication Process (CP) of the RNA series module, if network access to Port 102/TCP is available and the configuration file for the CP is stored on the RNA's CPU.

The bug was discovered 06/22/2016. The weakness was disclosed 07/07/2017 (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is uniquely identified as CVE-2017-6868 since 03/13/2017. 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 vulnerability was handled as a non-public zero-day exploit for at least 380 days. During that time the estimated underground price was around $5k-$25k.

Upgrading to version 1.4.1 eliminates this vulnerability.It is possible to mitigate the weakness by firewalling tcp/102. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 99234†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.7
VulDB Meta Temp Score: 7.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.1
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
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 Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: SIMATIC CP 44x-1 RNA 1.4.1
Firewalling: 🔍

Timelineinfo

06/22/2016 🔍
03/13/2017 +264 days 🔍
06/22/2017 +101 days 🔍
07/07/2017 +15 days 🔍
07/07/2017 +0 days 🔍
07/08/2017 +1 days 🔍
12/12/2022 +1983 days 🔍

Sourcesinfo

Vendor: siemens.com

Advisory: ssa-126840⛔
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-6868 (🔍)
GCVE (CVE): GCVE-0-2017-6868
GCVE (VulDB): GCVE-100-103347
SecurityFocus: 99234 - Siemens SIMATIC CP 44x-1 Redundant CVE-2017-6868 Authentication Bypass Vulnerability
SecurityTracker: 1038788

Entryinfo

Created: 07/08/2017 17:04
Updated: 12/12/2022 08:51
Changes: 07/08/2017 17:04 (62), 10/24/2019 12:05 (4), 12/31/2020 12:06 (3), 12/12/2022 08:51 (3)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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