IBM InfoSphere Information Server 11.7 Query injection

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.7$5k-$25k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in IBM InfoSphere Information Server 11.7. Impacted is an unknown function of the component Query Handler. This manipulation causes injection. This vulnerability is tracked as CVE-2021-29681. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability has been found in IBM InfoSphere Information Server 11.7 (Reporting Software) and classified as problematic. Affected by this vulnerability is an unknown functionality of the component Query Handler. The manipulation with an unknown input leads to a injection vulnerability. The CWE definition for the vulnerability is CWE-74. The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. As an impact it is known to affect confidentiality.

The weakness was disclosed 05/22/2021. The advisory is shared at ibm.com. This vulnerability is known as CVE-2021-29681. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 05/22/2021). It is expected to see the exploit prices for this product increasing in the near future.MITRE ATT&CK project uses the attack technique T1055 for this issue.

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 vulnerability database at X-Force (199918). If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.7
VulDB Meta Temp Score: 3.7

VulDB Base Score: 3.7
VulDB Temp Score: 3.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Injection
CWE: CWE-74 / CWE-707 / CWE-20
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

03/31/2021 🔍
05/22/2021 +52 days 🔍
05/22/2021 +0 days 🔍
05/23/2021 +1 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2021-29681 (🔍)
GCVE (CVE): GCVE-0-2021-29681
GCVE (VulDB): GCVE-100-175477
X-Force: 199918

Entryinfo

Created: 05/22/2021 08:49
Updated: 05/23/2021 14:26
Changes: 05/22/2021 08:49 (39), 05/23/2021 14:22 (3), 05/23/2021 14:26 (1)
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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