Asterisk RTP Codec Payload Handling Multiple Buffer Overflow Vulnerabilities
Severity: MEDIUM
CVE Identifier: CVE-2008-1289
Advisory Date: FEB 15, 2011
DESCRIPTION
Asterisk is prone to multiple buffer-overflow vulnerabilities
because it fails to perform adequate boundary checks on user-supplied data
before copying it to insufficiently sized buffers. Exploiting these issues may
allow an attacker to corrupt memory and cause denial-of-service conditions or
potentially execute arbitrary code in the context of the application. These
issues affect the following versions: Asterisk Open Source prior to 1.4.18.1 and
1.4.19-rc3. Asterisk Open Source prior to 1.6.0-beta6 Asterisk Business Edition
prior to C.1.6.1 AsteriskNOW prior to 1.0.2 Asterisk Appliance Developer Kit
prior to Asterisk 1.4 revision 109386 s800i (Asterisk Appliance) prior to
1.1.0.2
TREND MICRO PROTECTION INFORMATION
Trend Micro Deep Security shields networks through Deep Packet Inspection (DPI) rules. Trend Micro customers using OfficeScan with Intrusion Defense Firewall (IDF) plugin are also protected from attacks using these vulnerabilities. Please refer to the filter number and filter name when applying appropriate DPI and/or IDF rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1002104
Trend Micro Deep Security DPI Rule Name: 1002104 - Asterisk RTP Codec Payload Handling Multiple Buffer Overflow Vulnerabilities
AFFECTED SOFTWARE AND VERSION
- Asterisk Asterisk 1.4 Beta
- Asterisk Asterisk 1.4 revision 95946
- Asterisk Asterisk Appliance Developer Kit 1.4
- Asterisk Asterisk Business Edition C.1.0-beta7
- Asterisk Asterisk Business Edition C.1.0-beta8
- Asterisk s800i Appliance 1.1 0
Featured Stories
When AI Becomes a Zero-Day Machine: What Public Sector Organizations Need to KnowClaude Mythos Preview shows how AI can rapidly discover and weaponize zero-day vulnerabilities—transforming once human-scale threats into machine-speed attacks. As these capabilities spread, public sector organizations must rely on trusted, proactive defenders like TrendAI™ ZDI to stay ahead of an AI-driven threat landscape.Read more
Hunt Them All: An AI-Powered Vulnerability Sweep of 19,000 MCP ServersIn this research, we analyzed over 19,000 open-source MCP server repositories to uncover how much AI-generated code they contain and how many harbor exploitable vulnerabilities.Read more
Update on Exposed MCP Servers: The Threat Widens to the CloudExposed Model Context Protocol (MCP) servers have become powerful vectors for cloud attacks, enabling threat actors to not only access sensitive data but also take control of the cloud services themselves.Read more
Old Vulnerabilities, New AI Era, Amplified Risk: How Outdated Flaws Continue to Fuel the N-Day Exploit MarketEven as AI adoption accelerates, old exploits remain overlooked weaknesses. Underground trends show a renewed demand for exploits, with cybercriminals relying on aging but still effective vulnerabilities. We examine this blind spot and why long-standing issues need to be addressed.Read more