Adobe Connect up to 9.7.5 Library Loader access control

CVSS Meta Temp Score
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CTI Interest Score
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8.2$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Adobe Connect up to 9.7.5. The impacted element is an unknown function of the component Library Loader. Performing a manipulation results in access control. This vulnerability is cataloged as CVE-2018-12805. It is possible to initiate the attack remotely. There is no exploit available. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability was found in Adobe Connect up to 9.7.5 (Content Management System). It has been classified as critical. This affects some unknown functionality of the component Library Loader. The manipulation with an unknown input leads to a access control vulnerability. CWE is classifying the issue as CWE-264. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Adobe Connect versions 9.7.5 and earlier have an Insecure Library Loading vulnerability. Successful exploitation could lead to privilege escalation.

The bug was discovered 07/10/2018. The weakness was shared 07/20/2018 (Website). It is possible to read the advisory at helpx.adobe.com. This vulnerability is uniquely identified as CVE-2018-12805 since 06/25/2018. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 109726 (Adobe <= 9.7.5 Connect Authentication Bypass Vulnerability (APSB18-18, APSB18-22)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family CGI abuses and running in the context r. The commercial vulnerability scanner Qualys is able to test this issue with plugin 13194 (Adobe Connect Multiple Vulnerabilities (APSB18-22)).

Applying a patch is able to eliminate this problem. A possible mitigation has been published even before and not after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (109726) and SecurityFocus (BID 104696†). The entry VDB-122018 is related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
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: Access control
CWE: CWE-264
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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Nessus ID: 109726
Nessus Name: Adobe <= 9.7.5 Connect Authentication Bypass Vulnerability (APSB18-18, APSB18-22)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/08/2018 🔍
05/11/2018 +3 days 🔍
06/25/2018 +45 days 🔍
07/10/2018 +15 days 🔍
07/10/2018 +0 days 🔍
07/20/2018 +9 days 🔍
07/20/2018 +0 days 🔍
07/21/2018 +1 days 🔍
03/09/2020 +597 days 🔍

Sourcesinfo

Vendor: adobe.com

Advisory: helpx.adobe.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-12805 (🔍)
GCVE (CVE): GCVE-0-2018-12805
GCVE (VulDB): GCVE-100-122019
SecurityFocus: 104696 - Adobe Connect Add-in Installer CVE-2018-12805 DLL Loading Local Privilege Escalation Vulnerability

See also: 🔍

Entryinfo

Created: 07/21/2018 09:45
Updated: 03/09/2020 07:47
Changes: 07/21/2018 09:45 (72), 03/09/2020 07:47 (5)
Complete: 🔍
Cache ID: 216::103

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

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