IBM Algorithmics STYLESHEET cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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3.9$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in IBM Algorithmics. This affects an unknown part. Performing a manipulation of the argument STYLESHEET results in cross site scripting. This vulnerability is identified as CVE-2014-0870. The attack can be initiated remotely. Additionally, an exploit exists.

Detailsinfo

A vulnerability classified as problematic has been found in IBM Algorithmics (affected version unknown). This affects an unknown functionality. The manipulation of the argument STYLESHEET with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. The summary by CVE is:

Multiple cross-site scripting (XSS) vulnerabilities in RICOS in IBM Algo Credit Limits (aka ACLM) 4.5.0 through 4.7.0 before 4.7.0.03 FP5 in IBM Algorithmics allow remote attackers to inject arbitrary web script or HTML via (1) the Message parameter to rcore6/main/showerror.jsp, (2) the ButtonsetClass parameter to rcore6/main/buttonset.jsp, (3) the MBName parameter to rcore6/frameset.jsp, (4) the Init parameter to algopds/rcore6/main/browse.jsp, or the (5) Name, (6) StoreName, or (7) STYLESHEET parameter to algopds/rcore6/main/ibrowseheader.jsp.

The weakness was released 07/07/2014 (Website). The advisory is shared at sec-consult.com. This vulnerability is uniquely identified as CVE-2014-0870 since 01/06/2014. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.

The exploit is shared for download 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 X-Force (90944), Exploit-DB (33942) and Secunia (SA59296†). Entries connected to this vulnerability are available at VDB-70284, VDB-70282, VDB-70280 and VDB-70279. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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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: 🔍

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

01/06/2014 🔍
07/07/2014 +182 days 🔍
07/07/2014 +0 days 🔍
07/11/2014 +4 days 🔍
03/26/2015 +258 days 🔍
09/24/2024 +3470 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: 127304
Status: Not defined
Confirmation: 🔍

CVE: CVE-2014-0870 (🔍)
GCVE (CVE): GCVE-0-2014-0870
GCVE (VulDB): GCVE-100-70281
X-Force: 90944
Secunia: 59296 - IBM Algo Credit Manager Multiple Vulnerabilities, Less Critical

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

Entryinfo

Created: 03/26/2015 12:07
Updated: 09/24/2024 11:14
Changes: 03/26/2015 12:07 (46), 03/17/2019 09:21 (11), 03/24/2022 13:46 (3), 09/24/2024 11:14 (16)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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