IBM QRadar Incident Forensics 7.2 cross-site request forgery

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.3$0-$5k0.00

Summaryinfo

A vulnerability was found in IBM QRadar Incident Forensics 7.2. It has been classified as problematic. Affected is an unknown function. The manipulation leads to cross-site request forgery. This vulnerability is listed as CVE-2016-9730. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in IBM QRadar Incident Forensics 7.2 (Log Management Software). It has been rated as problematic. This issue affects an unknown code block. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. Using CWE to declare the problem leads to CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. Impacted is integrity. The summary by CVE is:

IBM QRadar Incident Forensics 7.2 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM Reference #: 1999549.

The bug was discovered 03/01/2017. The weakness was presented 03/07/2017 as 1999549 as confirmed advisory (Website). The advisory is shared at ibm.com. The identification of this vulnerability is CVE-2016-9730 since 12/01/2016. 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. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/04/2020). It is expected to see the exploit prices for this product increasing in the near future.

The vulnerability was handled as a non-public zero-day exploit for at least 6 days. During that time the estimated underground price was around $5k-$25k.

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

See VDB-97609 for similar entry. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

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

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

NVD Base Score: 4.3
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 request forgery
CWE: CWE-352 / CWE-862 / CWE-863
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

12/01/2016 🔍
03/01/2017 +90 days 🔍
03/07/2017 +6 days 🔍
03/07/2017 +0 days 🔍
03/07/2017 +0 days 🔍
09/04/2020 +1277 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: 1999549
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2016-9730 (🔍)
GCVE (CVE): GCVE-0-2016-9730
GCVE (VulDB): GCVE-100-97613
OSVDB: - CVE-2016-9730 - IBM - QRadar Incident Forensics - Cross-Site Request Forgery Issue

See also: 🔍

Entryinfo

Created: 03/07/2017 21:59
Updated: 09/04/2020 16:24
Changes: 03/07/2017 21:59 (60), 09/04/2020 16:24 (3)
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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