IBM db2 up to 8.1 memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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8.9$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in IBM db2 7.0/7.1/7.2/8.0/8.1. Impacted is an unknown function. This manipulation causes memory corruption. This vulnerability is registered as CVE-2005-4864. No exploit is available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability has been found in IBM db2 7.0/7.1/7.2/8.0/8.1 (Database Software) and classified as critical. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Stack-based buffer overflow in libdb2.so in IBM DB2 7.x and 8.1 allows local users to execute arbitrary code via a long DB2LPORT environment variable.

The bug was discovered 10/06/2004. The weakness was published 12/31/2005 by David Litchfield with NGSSoftware (Website). The advisory is shared at securityfocus.com. This vulnerability is known as CVE-2005-4864 since 10/06/2007. The exploitation appears to be easy. An attack has to be approached locally. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available.

The vulnerability was handled as a non-public zero-day exploit for at least 11 days. During that time the estimated underground price was around $25k-$100k. The vulnerability scanner Nessus provides a plugin with the ID 15486 (IBM DB2 < 8 Fix Pack 7a Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Databases and running in the context r.

Upgrading eliminates this vulnerability. Furthermore it is possible to detect and prevent this kind of attack with TippingPoint and the filter 3277.

The vulnerability is also documented in the databases at X-Force (17616), Tenable (15486), SecurityFocus (BID 11390†), OSVDB (10517†) and Secunia (SA12733†). Similar entries are available at VDB-822, VDB-873, VDB-867 and VDB-866. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.3
VulDB Meta Temp Score: 8.9

VulDB Base Score: 9.3
VulDB Temp Score: 8.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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VulDB Base Score: 🔍
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Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 15486
Nessus Name: IBM DB2 < 8 Fix Pack 7a Multiple Vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Threat Intelligenceinfo

Interest: 🔍
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Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍
TippingPoint: 🔍

Timelineinfo

09/01/2004 🔍
09/01/2004 +0 days 🔍
10/06/2004 +35 days 🔍
10/17/2004 +11 days 🔍
12/31/2005 +440 days 🔍
12/31/2005 +0 days 🔍
10/06/2007 +644 days 🔍
01/02/2008 +88 days 🔍
03/12/2015 +2626 days 🔍
08/02/2019 +1604 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: securityfocus.com⛔
Researcher: David Litchfield
Organization: NGSSoftware
Status: Not defined

CVE: CVE-2005-4864 (🔍)
GCVE (CVE): GCVE-0-2005-4864
GCVE (VulDB): GCVE-100-28165
X-Force: 17616
SecurityFocus: 11390
Secunia: 12733
OSVDB: 10517 - CVE-2005-4864 - IBM DB2 - Buffer Overflow Issue
Vulnerability Center: 17243 - IBM DB2 7- 8.1 Stack-Based Buffer overflow in libdb2 Allows Local Code Execution, Medium

See also: 🔍

Entryinfo

Created: 03/12/2015 11:11
Updated: 08/02/2019 15:26
Changes: 03/12/2015 11:11 (67), 08/02/2019 15:26 (6)
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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