Opentext Documentum Content Server docbase sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.2$0-$5k0.00

Summaryinfo

A vulnerability has been found in Opentext Documentum Content Server and classified as critical. The affected element is the function docbase. This manipulation causes sql injection. The identification of this vulnerability is CVE-2017-7221. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability has been found in Opentext Documentum Content Server (the affected version unknown) and classified as critical. Affected by this vulnerability is the function docbase. The manipulation with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

OpenText Documentum Content Server has an inadequate protection mechanism against SQL injection, which allows remote authenticated users to execute arbitrary code with super-user privileges by leveraging the availability of the dm_bp_transition docbase method with a user-created dm_procedure object, as demonstrated by use of a backspace character in an injected string. NOTE: this vulnerability exists because of an incomplete fix for CVE-2014-2513.

The bug was discovered 04/25/2017. The weakness was shared 04/25/2017 by Andrey B. Panfilov (Website). It is possible to read the advisory at seclists.org. This vulnerability is known as CVE-2017-7221 since 03/21/2017. The exploitation appears to be easy. The attack can be launched remotely. A single authentication is necessary for exploitation. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept.

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 databases at Exploit-DB (41928) and SecurityFocus (BID 98038†). The entries VDB-70305 and VDB-77360 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.2

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
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: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/21/2017 🔍
04/25/2017 +35 days 🔍
04/25/2017 +0 days 🔍
04/25/2017 +0 days 🔍
04/25/2017 +0 days 🔍
04/25/2017 +0 days 🔍
07/14/2025 +3002 days 🔍

Sourcesinfo

Advisory: seclists.org
Researcher: Andrey B. Panfilov
Status: Not defined

CVE: CVE-2017-7221 (🔍)
GCVE (CVE): GCVE-0-2017-7221
GCVE (VulDB): GCVE-100-100579
SecurityFocus: 98038 - OpenText Documentum Content Server CVE-2017-7221 Incomplete Fix Remote Code Execution Vulnerability
OSVDB: - CVE-2017-7221 - OpenText - Documentum Content Server - Code Execution Issue

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 04/25/2017 22:45
Updated: 07/14/2025 19:51
Changes: 04/25/2017 22:45 (58), 09/21/2020 11:38 (8), 07/14/2025 19:51 (19)
Complete: 🔍
Cache ID: 216::103

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

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