iSCSI target Multiple Implementations iSNS Stack Buffer Overflow
Publish date: February 10, 2011
Severity: MEDIUM
CVE Identifier: CVE-2010-2221
Advisory Date: FEB 10, 2011
DESCRIPTION
Multiple buffer overflows in the iSNS implementation in isns.c in
(1) Linux SCSI target framework (aka tgt or scsi-target-utils) before 1.0.6, (2)
iSCSI Enterprise Target (aka iscsitarget or IET) 1.4.20.1 and earlier, and (3)
Generic SCSI Target Subsystem for Linux (aka SCST or iscsi-scst) 1.0.1.1 and
earlier allow remote attackers to cause a denial of service (memory corruption
and daemon crash) or possibly execute arbitrary code via (a) a long iSCSI Name
string in an SCN message or (b) an invalid PDU.
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: 1004269
Trend Micro Deep Security DPI Rule Name: 1004269 - iSCSI Target Multiple Implementations iSNS Stack Buffer Overflow
AFFECTED SOFTWARE AND VERSION
- arne_redlich_&_ross_walker iscsitarget 0.1.0
- arne_redlich_&_ross_walker iscsitarget 0.2.0
- arne_redlich_&_ross_walker iscsitarget 0.2.1
- arne_redlich_&_ross_walker iscsitarget 0.2.2
- arne_redlich_&_ross_walker iscsitarget 0.2.3
- arne_redlich_&_ross_walker iscsitarget 0.2.4
- arne_redlich_&_ross_walker iscsitarget 0.2.5
- arne_redlich_&_ross_walker iscsitarget 0.2.6
- arne_redlich_&_ross_walker iscsitarget 0.3.0
- arne_redlich_&_ross_walker iscsitarget 0.3.1
- arne_redlich_&_ross_walker iscsitarget 0.3.2
- arne_redlich_&_ross_walker iscsitarget 0.3.3
- arne_redlich_&_ross_walker iscsitarget 0.3.4
- arne_redlich_&_ross_walker iscsitarget 0.3.5
- arne_redlich_&_ross_walker iscsitarget 0.3.6
- arne_redlich_&_ross_walker iscsitarget 0.3.7
- arne_redlich_&_ross_walker iscsitarget 0.3.8
- arne_redlich_&_ross_walker iscsitarget 0.4.0
- arne_redlich_&_ross_walker iscsitarget 0.4.1
- arne_redlich_&_ross_walker iscsitarget 0.4.10
- arne_redlich_&_ross_walker iscsitarget 0.4.11
- arne_redlich_&_ross_walker iscsitarget 0.4.12
- arne_redlich_&_ross_walker iscsitarget 0.4.13
- arne_redlich_&_ross_walker iscsitarget 0.4.14
- arne_redlich_&_ross_walker iscsitarget 0.4.15
- arne_redlich_&_ross_walker iscsitarget 0.4.16
- arne_redlich_&_ross_walker iscsitarget 0.4.17
- arne_redlich_&_ross_walker iscsitarget 0.4.2
- arne_redlich_&_ross_walker iscsitarget 0.4.3
- arne_redlich_&_ross_walker iscsitarget 0.4.4
- arne_redlich_&_ross_walker iscsitarget 0.4.5
- arne_redlich_&_ross_walker iscsitarget 0.4.6
- arne_redlich_&_ross_walker iscsitarget 0.4.7
- arne_redlich_&_ross_walker iscsitarget 0.4.8
- arne_redlich_&_ross_walker iscsitarget 0.4.9
- arne_redlich_&_ross_walker iscsitarget 1.4.18
- arne_redlich_&_ross_walker iscsitarget 1.4.19
- arne_redlich_&_ross_walker iscsitarget 1.4.20
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.0a
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.1
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.2
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.3
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.4
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.5
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.5.1
- vladislav_bolkhovitin generic_scsi_target_subsystem 0.9.5.2
- vladislav_bolkhovitin generic_scsi_target_subsystem 1.0.0
- vladislav_bolkhovitin generic_scsi_target_subsystem 1.0.1
- zaal tgt 0.9.5
- zaal tgt 1.0.0
- zaal tgt 1.0.1
- zaal tgt 1.0.2
- zaal tgt 1.0.3
- zaal tgt 1.0.4
- zaal tgt 1.0.5
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