RealNetworks RealPlayer SMIL getAtom Remote Code Execution Vulnerability
Publish date: February 15, 2011
Severity: CRITICAL
CVE Identifier: CVE-2009-4257
Advisory Date: FEB 15, 2011
DESCRIPTION
Heap-based buffer overflow in datatype/smil/common/smlpkt.cpp in smlrender.dll in RealNetworks RealPlayer 10, RealPlayer 10.5 6.0.12.1040 through 6.0.12.1741, RealPlayer 11 11.0.0 through 11.0.4, RealPlayer Enterprise, Mac RealPlayer 10 and 10.1, Linux RealPlayer 10 and 11.0.0, and Helix Player 10.x and 11.0.0 allows remote attackers to execute arbitrary code via an SMIL file with crafted string lengths.
nvd: Specific affected release information can be found from RealNetworks at:
http://service.real.com/realplayer/security/01192010_player/en/
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: 1003965
Trend Micro Deep Security DPI Rule Name: 1003965 - RealNetworks RealPlayer SMIL getAtom Remote Code Execution Vulnerability
AFFECTED SOFTWARE AND VERSION
- realnetworks helix_player 10.0
- realnetworks helix_player 11.0.0
- realnetworks helix_player 11.0.1
- realnetworks realplayer 10.0
- realnetworks realplayer 10.1
- realnetworks realplayer 10.5
- realnetworks realplayer 11.0
- realnetworks realplayer 11.0.0
- realnetworks realplayer 11.0.1
- realnetworks realplayer 11.0.2
- realnetworks realplayer 11.0.3
- realnetworks realplayer 11.0.4
- realnetworks realplayer 11.0.5
- realnetworks realplayer_enterprise
- realnetworks realplayer_sp 1.0.0
- realnetworks realplayer_sp 1.0.1
Featured Stories
- Unveiling AI Agent Vulnerabilities Part V: Securing LLM ServicesTo conclude our series on agentic AI, this article examines emerging vulnerabilities that threaten AI agents, focusing on providing proactive security recommendations on areas such as code execution, data exfiltration, and database access.Read more
- Unveiling AI Agent Vulnerabilities Part IV: Database Access VulnerabilitiesHow can attackers exploit weaknesses in database-enabled AI agents? This research explores how SQL generation vulnerabilities, stored prompt injection, and vector store poisoning can be weaponized by attackers for fraudulent activities.Read more
- The Mirage of AI Programming: Hallucinations and Code IntegrityThe adoption of large language models (LLMs) and Generative Pre-trained Transformers (GPTs), such as ChatGPT, by leading firms like Microsoft, Nuance, Mix and Google CCAI Insights, drives the industry towards a series of transformative changes. As the use of these new technologies becomes prevalent, it is important to understand their key behavior, advantages, and the risks they present.Read more
- Open RAN: Attack of the xAppsThis article discusses two O-RAN vulnerabilities that attackers can exploit. One vulnerability stems from insufficient access control, and the other arises from faulty message handlingRead more