LCDS LAquis SCADA up to 4.3.1 information disclosure

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 (≈)
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CTI Interest Score
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4.4$0-$5k0.00

Summaryinfo

A vulnerability was found in LCDS LAquis SCADA up to 4.3.1. It has been rated as problematic. This vulnerability affects unknown code. Performing a manipulation results in information disclosure. This vulnerability is reported as CVE-2020-10618. The attack requires a local approach. No exploit exists.

Detailsinfo

A vulnerability was found in LCDS LAquis SCADA up to 4.3.1 (SCADA Software). It has been classified as problematic. This affects an unknown function. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

LCDS LAquis SCADA Versions 4.3.1 and prior. The affected product is vulnerable to sensitive information exposure by unauthorized users.

The weakness was disclosed 05/04/2020. This vulnerability is uniquely identified as CVE-2020-10618 since 03/16/2020. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

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

The entry VDB-154708 is pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.4
VulDB Meta Temp Score: 4.4

VulDB Base Score: 3.3
VulDB Temp Score: 3.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.5
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: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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: 🔍

0-Day Time: 🔍

Timelineinfo

03/16/2020 🔍
05/04/2020 +49 days 🔍
05/05/2020 +1 days 🔍
05/05/2020 +0 days 🔍

Sourcesinfo

Status: Not defined

CVE: CVE-2020-10618 (🔍)
GCVE (CVE): GCVE-0-2020-10618
GCVE (VulDB): GCVE-100-154707
See also: 🔍

Entryinfo

Created: 05/05/2020 08:16
Updated: 05/05/2020 08:21
Changes: 05/05/2020 08:16 (35), 05/05/2020 08:21 (18)
Complete: 🔍
Cache ID: 216::103

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

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