Microstrategy Web 7 admin/admin.asp ShowAll cross site scripting

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.0$0-$5k0.00

Summaryinfo

A vulnerability has been found in Microstrategy Web 7 and classified as problematic. Impacted is an unknown function of the file admin/admin.asp. The manipulation of the argument ShowAll as part of Parameter leads to cross site scripting. This vulnerability is referenced as CVE-2018-18776. Remote exploitation of the attack is possible. Furthermore, an exploit is available. It is recommended that the affected component be replaced with an alternative.

Detailsinfo

A vulnerability was found in Microstrategy Web 7. It has been rated as problematic. This issue affects an unknown part of the file admin/admin.asp. The manipulation of the argument ShowAll as part of a Parameter leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:

Microstrategy Web, version 7, does not sufficiently encode user-controlled inputs, resulting in a Cross-Site Scripting (XSS) vulnerability via the admin/admin.asp ShowAll parameter. NOTE: this is a deprecated product.

The bug was discovered 10/30/2018. The weakness was published 10/31/2018 (Website). It is possible to read the advisory at packetstormsecurity.com. The identification of this vulnerability is CVE-2018-18776 since 10/28/2018. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The exploit is available at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 2 days. During that time the estimated underground price was around $0-$5k. By approaching the search of inurl:admin/admin.asp it is possible to find vulnerable targets with Google Hacking.

The problem might be mitigated by replacing the product with as an alternative.

The vulnerability is also documented in the vulnerability database at Exploit-DB (45755). Similar entries are available at VDB-126396 and VDB-126394. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.2
VulDB Meta Temp Score: 5.0

VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.1
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: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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

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: Alternative
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/28/2018 🔍
10/30/2018 +2 days 🔍
10/31/2018 +1 days 🔍
11/01/2018 +0 days 🔍
11/02/2018 +1 days 🔍
11/18/2024 +2208 days 🔍

Sourcesinfo

Advisory: 150059
Status: Not defined

CVE: CVE-2018-18776 (🔍)
GCVE (CVE): GCVE-0-2018-18776
GCVE (VulDB): GCVE-100-126395
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 11/02/2018 05:25
Updated: 11/18/2024 05:38
Changes: 11/02/2018 05:25 (61), 04/09/2020 15:54 (4), 06/04/2023 10:02 (4), 11/18/2024 05:38 (18)
Complete: 🔍
Cache ID: 216::103

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

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