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SECURITM это SGRC система, ? автоматизирующая процессы в службах информационной безопасности. SECURITM помогает построить и управлять ИСПДн, КИИ, ГИС, СМИБ/СУИБ, банковскими системами защиты.
А еще SECURITM это место для обмена опытом и наработками для служб безопасности.

Network Intrusion Prevention

Use intrusion detection signatures to block traffic at network boundaries.
ID: M1031
Version: 1.0
Created: 10 Jun 2019
Last Modified: 10 Jun 2019

Techniques Addressed by Mitigation

Domain ID Name Use
Enterprise T1557 Adversary-in-the-Middle

Network intrusion detection and prevention systems that can identify traffic patterns indicative of AiTM activity can be used to mitigate activity at the network level.

T1557.001 LLMNR/NBT-NS Poisoning and SMB Relay

Network intrusion detection and prevention systems that can identify traffic patterns indicative of AiTM activity can be used to mitigate activity at the network level.

T1557.002 ARP Cache Poisoning

Network intrusion detection and prevention systems that can identify traffic patterns indicative of AiTM activity can be used to mitigate activity at the network level.

T1557.003 DHCP Spoofing

Network intrusion detection and prevention systems that can identify traffic patterns indicative of AiTM activity can be used to mitigate activity at the network level.(Citation: dhcp_serv_op_events)

Enterprise T1071 Application Layer Protocol

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1071.001 Web Protocols

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1071.002 File Transfer Protocols

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1071.003 Mail Protocols

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1071.004 DNS

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

Enterprise T1132 Data Encoding

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools. (Citation: University of Birmingham C2)

T1132.001 Standard Encoding

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools.

T1132.002 Non-Standard Encoding

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools.

Enterprise T1001 Data Obfuscation

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate some obfuscation activity at the network level.

T1001.001 Junk Data

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate some obfuscation activity at the network level.

T1001.002 Steganography

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate some obfuscation activity at the network level.

T1001.003 Protocol Impersonation

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate some obfuscation activity at the network level.

Enterprise T1030 Data Transfer Size Limits

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary command and control infrastructure and malware can be used to mitigate activity at the network level.

Enterprise T1602 Data from Configuration Repository

Configure intrusion prevention devices to detect SNMP queries and commands from unauthorized sources.(Citation: US-CERT-TA18-106A)

T1602.001 SNMP (MIB Dump)

Configure intrusion prevention devices to detect SNMP queries and commands from unauthorized sources.(Citation: US-CERT-TA18-106A)

T1602.002 Network Device Configuration Dump

onfigure intrusion prevention devices to detect SNMP queries and commands from unauthorized sources. Create signatures to detect Smart Install (SMI) usage from sources other than trusted director.(Citation: US-CERT TA18-106A Network Infrastructure Devices 2018)

Enterprise T1568 Dynamic Resolution

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Malware researchers can reverse engineer malware variants that use dynamic resolution and determine future C2 infrastructure that the malware will attempt to contact, but this is a time and resource intensive effort.(Citation: Cybereason Dissecting DGAs)(Citation: Cisco Umbrella DGA Brute Force)

T1568.002 Domain Generation Algorithms

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Malware researchers can reverse engineer malware variants that use DGAs and determine future domains that the malware will attempt to contact, but this is a time and resource intensive effort.(Citation: Cybereason Dissecting DGAs)(Citation: Cisco Umbrella DGA Brute Force) Malware is also increasingly incorporating seed values that can be unique for each instance, which would then need to be determined to extract future generated domains. In some cases, the seed that a particular sample uses can be extracted from DNS traffic.(Citation: Akamai DGA Mitigation) Even so, there can be thousands of possible domains generated per day; this makes it impractical for defenders to preemptively register all possible C2 domains due to the cost.

Enterprise T1573 Encrypted Channel

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1573.001 Symmetric Cryptography

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1573.002 Asymmetric Cryptography

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

Enterprise T1048 Exfiltration Over Alternative Protocol

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary command and control infrastructure and malware can be used to mitigate activity at the network level.

T1048.001 Exfiltration Over Symmetric Encrypted Non-C2 Protocol

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary command and control infrastructure and malware can be used to mitigate activity at the network level.

T1048.002 Exfiltration Over Asymmetric Encrypted Non-C2 Protocol

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary command and control infrastructure and malware can be used to mitigate activity at the network level.

T1048.003 Exfiltration Over Unencrypted Non-C2 Protocol

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary command and control infrastructure and malware can be used to mitigate activity at the network level.

Enterprise T1041 Exfiltration Over C2 Channel

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool command and control signatures over time or construct protocols in such a way to avoid detection by common defensive tools. (Citation: University of Birmingham C2)

Enterprise T1008 Fallback Channels

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific protocol used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools. (Citation: University of Birmingham C2)

Enterprise T1105 Ingress Tool Transfer

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware or unusual data transfer over known protocols like FTP can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools.(Citation: University of Birmingham C2)

Enterprise T1570 Lateral Tool Transfer

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware or unusual data transfer over known tools and protocols like FTP can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. (Citation: University of Birmingham C2)

Enterprise T1104 Multi-Stage Channels

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

Enterprise T1046 Network Service Discovery

Use network intrusion detection/prevention systems to detect and prevent remote service scans.

Enterprise T1095 Non-Application Layer Protocol

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

Enterprise T1571 Non-Standard Port

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

Enterprise T1566 Phishing

Network intrusion prevention systems and systems designed to scan and remove malicious email attachments or links can be used to block activity.

T1566.001 Spearphishing Attachment

Network intrusion prevention systems and systems designed to scan and remove malicious email attachments can be used to block activity.

Enterprise T1542 T1542.004 Pre-OS Boot: ROMMONkit

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific protocols, such as TFTP, can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific technique used by a particular adversary or tool, and will likely be different across various network configurations.

T1542.005 TFTP Boot

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific protocols, such as TFTP, can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific technique used by a particular adversary or tool, and will likely be different across various network configurations.

Enterprise T1572 Protocol Tunneling

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

Enterprise T1090 Proxy

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific C2 protocol used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools. (Citation: University of Birmingham C2)

T1090.001 Internal Proxy

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific C2 protocol used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools.(Citation: University of Birmingham C2)

T1090.002 External Proxy

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific C2 protocol used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool C2 signatures over time or construct protocols in such a way as to avoid detection by common defensive tools.(Citation: University of Birmingham C2)

Enterprise T1219 Remote Access Software

Network intrusion detection and prevention systems that use network signatures may be able to prevent traffic to remote access services.

Enterprise T1029 Scheduled Transfer

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary command and control infrastructure and malware can be used to mitigate activity at the network level. Signatures are often for unique indicators within protocols and may be based on the specific obfuscation technique used by a particular adversary or tool, and will likely be different across various malware families and versions. Adversaries will likely change tool command and control signatures over time or construct protocols in such a way to avoid detection by common defensive tools. (Citation: University of Birmingham C2)

Enterprise T1221 Template Injection

Network/Host intrusion prevention systems, antivirus, and detonation chambers can be employed to prevent documents from fetching and/or executing malicious payloads.(Citation: Anomali Template Injection MAR 2018)

Enterprise T1204 User Execution

If a link is being visited by a user, network intrusion prevention systems and systems designed to scan and remove malicious downloads can be used to block activity.

T1204.001 Malicious Link

If a link is being visited by a user, network intrusion prevention systems and systems designed to scan and remove malicious downloads can be used to block activity.

T1204.003 Malicious Image

Network prevention intrusion systems and systems designed to scan and remove malicious downloads can be used to block activity.

Enterprise T1102 Web Service

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1102.001 Dead Drop Resolver

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1102.002 Bidirectional Communication

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

T1102.003 One-Way Communication

Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level.

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