Siemens EN100 Ethernet Module DNP3 Webserver Crafted Packet memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.4$5k-$25k0.00

Summaryinfo

A vulnerability classified as critical has been found in Siemens EN100 Ethernet Module DNP3, EN100 Ethernet Module IEC 61850, EN100 Ethernet Module IEC104, EN100 Ethernet Module Modbus TCP and EN100 Ethernet Module PROFINET IO. This affects an unknown part of the component Webserver. The manipulation as part of Crafted Packet leads to memory corruption. This vulnerability is listed as CVE-2019-13942. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in Siemens EN100 Ethernet Module DNP3, EN100 Ethernet Module IEC 61850, EN100 Ethernet Module IEC104, EN100 Ethernet Module Modbus TCP and EN100 Ethernet Module PROFINET IO and classified as critical. This issue affects some unknown processing of the component Webserver. The manipulation as part of a Crafted Packet leads to a memory corruption vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

A vulnerability has been identified in EN100 Ethernet module DNP3 variant (All versions), EN100 Ethernet module IEC 61850 variant (All versions < V4.37), EN100 Ethernet module IEC104 variant (All versions), EN100 Ethernet module Modbus TCP variant (All versions), EN100 Ethernet module PROFINET IO variant (All versions). An unauthorized user could exploit a buffer overflow vulnerability in the webserver. Specially crafted packets sent could cause a Denial-of-Service condition and if certain conditions are met, the affected devices must be restarted manually to fully recover. At the time of advisory publication no public exploitation of this security vulnerability was known.

The weakness was presented 12/12/2019. The identification of this vulnerability is CVE-2019-13942 since 07/18/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 03/11/2024).

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

See VDB-147085 and VDB-147084 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.4
VulDB Meta Temp Score: 7.4

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

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

07/18/2019 🔍
12/12/2019 +147 days 🔍
12/13/2019 +1 days 🔍
03/11/2024 +1550 days 🔍

Sourcesinfo

Vendor: siemens.com

Advisory: ssa-418979
Status: Not defined

CVE: CVE-2019-13942 (🔍)
GCVE (CVE): GCVE-0-2019-13942
GCVE (VulDB): GCVE-100-147083
See also: 🔍

Entryinfo

Created: 12/13/2019 08:04
Updated: 03/11/2024 08:56
Changes: 12/13/2019 08:04 (36), 12/13/2019 08:08 (17), 03/11/2024 08:52 (4), 03/11/2024 08:56 (1)
Complete: 🔍
Cache ID: 216::103

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

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