VDB-117163 · CVE-2018-7527 · BID 104016

LeviStudio HMI Editor 1.10 File memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in LeviStudio HMI Editor 1.10. This affects an unknown part of the component File Handler. This manipulation causes memory corruption. This vulnerability appears as CVE-2018-7527. The attack requires local access. There is no available exploit.

Detailsinfo

A vulnerability classified as critical was found in LeviStudio HMI Editor 1.10 (SCADA Software). Affected by this vulnerability is an unknown code of the component File Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

A buffer overflow can be triggered in LeviStudio HMI Editor, Version 1.10 part of Wecon LeviStudioU 1.8.29, and PI Studio HMI Project Programmer, Build: November 11, 2017 and prior by opening a specially crafted file.

The bug was discovered 07/26/2018. The weakness was presented 04/26/2018 (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is known as CVE-2018-7527 since 02/26/2018. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.

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

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 104016†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

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: 🔍

NVD Base Score: 5.3
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: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
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: 🔍

Timelineinfo

02/26/2018 🔍
04/26/2018 +58 days 🔍
04/26/2018 +0 days 🔍
04/27/2018 +1 days 🔍
07/26/2018 +90 days 🔍
02/01/2020 +555 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Status: Not defined

CVE: CVE-2018-7527 (🔍)
GCVE (CVE): GCVE-0-2018-7527
GCVE (VulDB): GCVE-100-117163
SecurityFocus: 104016

Entryinfo

Created: 04/27/2018 08:49
Updated: 02/01/2020 07:32
Changes: 04/27/2018 08:49 (56), 02/01/2020 07:32 (1)
Complete: 🔍
Cache ID: 216::103

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

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