Nextcloud Server 18.0.4 Encryption random values

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
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.
2.4$0-$5k0.00

Summaryinfo

A vulnerability was found in Nextcloud Server 18.0.4. It has been classified as problematic. This vulnerability affects unknown code of the component Encryption Handler. Performing a manipulation results in random values. This vulnerability is identified as CVE-2020-8173. There is not any exploit available.

Detailsinfo

A vulnerability was found in Nextcloud Server 18.0.4 (Cloud Software). It has been classified as problematic. This affects an unknown code block of the component Encryption Handler. The manipulation with an unknown input leads to a random values vulnerability. CWE is classifying the issue as CWE-330. The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers. This is going to have an impact on confidentiality.

The weakness was released 11/03/2020. It is possible to read the advisory at hackerone.com. This vulnerability is uniquely identified as CVE-2020-8173. The exploitability is told to be difficult. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1600.001 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.

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

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 2.4
VulDB Meta Temp Score: 2.4

VulDB Base Score: 2.6
VulDB Temp Score: 2.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 2.2
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: Random values
CWE: CWE-330 / CWE-310
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

01/28/2020 🔍
11/03/2020 +280 days 🔍
11/03/2020 +0 days 🔍
12/01/2020 +28 days 🔍

Sourcesinfo

Advisory: hackerone.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2020-8173 (🔍)
GCVE (CVE): GCVE-0-2020-8173
GCVE (VulDB): GCVE-100-164211

Entryinfo

Created: 11/03/2020 09:21
Updated: 12/01/2020 14:19
Changes: 11/03/2020 09:21 (37), 12/01/2020 14:15 (2), 12/01/2020 14:19 (18)
Complete: 🔍
Cache ID: 216::103

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

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