CDATA FD8000 improper authentication

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.5$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in CDATA 72408A, 9008A, 9016A, 92408A, 92416A, 9288, 97016, 97024P, 97028P, 97042P, 97084P, 97168P, FD1002S, FD1104, FD1104B, FD1104S, FD1104SN, FD1108S, FD1204S-R2, FD1204SN, FD1204SN-R2, FD1208S-R2, FD1216S-R1, FD1608GS, FD1608SN, FD1616GS, FD1616SN and FD8000. Affected by this vulnerability is an unknown functionality. The manipulation leads to improper authentication. This vulnerability is documented as CVE-2020-29062. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in CDATA 72408A, 9008A, 9016A, 92408A, 92416A, 9288, 97016, 97024P, 97028P, 97042P, 97084P, 97168P, FD1002S, FD1104, FD1104B, FD1104S, FD1104SN, FD1108S, FD1204S-R2, FD1204SN, FD1204SN-R2, FD1208S-R2, FD1216S-R1, FD1608GS, FD1608SN, FD1616GS, FD1616SN and FD8000. This issue affects an unknown functionality. The manipulation with an unknown input leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is confidentiality, integrity, and availability.

The weakness was released 11/25/2020. The advisory is shared at pierrekim.github.io. The identification of this vulnerability is CVE-2020-29062. Neither technical details nor an exploit are publicly available.

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

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

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

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

NVD Base Score: 9.8
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: Improper authentication
CWE: CWE-287
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

11/24/2020 🔍
11/25/2020 +1 days 🔍
11/25/2020 +0 days 🔍
12/10/2020 +15 days 🔍

Sourcesinfo

Advisory: pierrekim.github.io
Status: Not defined

CVE: CVE-2020-29062 (🔍)
GCVE (CVE): GCVE-0-2020-29062
GCVE (VulDB): GCVE-100-165341

Entryinfo

Created: 11/25/2020 06:59
Updated: 12/10/2020 15:54
Changes: 11/25/2020 06:59 (34), 12/10/2020 15:47 (2), 12/10/2020 15:54 (18)
Complete: 🔍
Cache ID: 216::103

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

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