Siemens WinCC 7.0 memory corruption

HistoryDiffrelatejsonxmlCTI

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.3	$5k-$25k	0.00

Summaryinfo

A vulnerability was found in Siemens WinCC 7.0. It has been classified as critical. This issue affects some unknown processing. Performing a manipulation results in memory corruption. This vulnerability was named CVE-2012-2598. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, was found in Siemens WinCC 7.0. This affects an unknown code block. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on availability. The summary by CVE is:

Buffer overflow in the DiagAgent web server in Siemens WinCC 7.0 SP3 through Update 2 allows remote attackers to cause a denial of service (agent outage) via crafted input.

The weakness was presented 06/08/2012 (Website). The advisory is shared at us-cert.gov. This vulnerability is uniquely identified as CVE-2012-2598 since 05/09/2012. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 12/03/2021).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

See VDB-60934, VDB-60932, VDB-60931 and VDB-60930 for similar entries. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Siemens

Name

WinCC

Version

License

commercial

Website

Vendor: https://www.siemens.com/

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AV	AC	Au	C	I	A
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
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 Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/09/2012 🔍
06/08/2012 +30 days 🔍
06/08/2012 +0 days 🔍
03/23/2015 +1018 days 🔍
12/03/2021 +2447 days 🔍

Sourcesinfo

Vendor: siemens.com

Advisory: ssa-223158
Status: Not defined
Confirmation: 🔍

CVE: CVE-2012-2598 (🔍)
GCVE (CVE): GCVE-0-2012-2598
GCVE (VulDB): GCVE-100-60933
See also: 🔍

Entryinfo

Created: 03/23/2015 16:50
Updated: 12/03/2021 16:02
Changes: 03/23/2015 16:50 (45), 02/17/2019 10:54 (2), 12/03/2021 16:02 (3)
Complete: 🔍
Cache ID: 216:20F:103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.