Cервис управления информационной безопасностью
Cервис управления информационной безопасностью
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MITRE ATT&CK - Technique Active Scanning
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MITRE ATT&CK
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MITRE ATT&CK
Техника
Active Scanning
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Active Scanning

ID Name
.001 Scanning IP Blocks
.002 Vulnerability Scanning
.003 Wordlist Scanning

Adversaries may execute active reconnaissance scans to gather information that can be used during targeting. Active scans are those where the adversary probes victim infrastructure via network traffic, as opposed to other forms of reconnaissance that do not involve direct interaction. Adversaries may perform different forms of active scanning depending on what information they seek to gather. These scans can also be performed in various ways, including using native features of network protocols such as ICMP.(Citation: Botnet Scan)(Citation: OWASP Fingerprinting) Information from these scans may reveal opportunities for other forms of reconnaissance (ex: Search Open Websites/Domains or Search Open Technical Databases), establishing operational resources (ex: Develop Capabilities or Obtain Capabilities), and/or initial access (ex: External Remote Services or Exploit Public-Facing Application).

ID: T1595
Sub-techniques:  .001 .002 .003
Tactic(s): Reconnaissance
Platforms: PRE
Data Sources: Network Traffic: Network Traffic Content, Network Traffic: Network Traffic Flow
Version: 1.0
Created: 02 Oct 2020
Last Modified: 08 Mar 2022

Procedure Examples
Name Description

In the Triton Safety Instrumented System Attack, TEMP.Veles engaged in network reconnaissance against targets of interest.(Citation: FireEye TEMP.Veles 2018)

Mitigations
Mitigation Description
Pre-compromise

This category is used for any applicable mitigation activities that apply to techniques occurring before an adversary gains Initial Access, such as Reconnaissance and Resource Development techniques.

Detection

Monitor for suspicious network traffic that could be indicative of scanning, such as large quantities originating from a single source (especially if the source is known to be associated with an adversary/botnet). Analyzing web metadata may also reveal artifacts that can be attributed to potentially malicious activity, such as referer or user-agent string HTTP/S fields. Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking place outside the visibility of the target organization, making detection difficult for defenders. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access.

References

  1. OWASP Wiki. (2018, February 16). OAT-004 Fingerprinting. Retrieved October 20, 2020.
  2. Dainotti, A. et al. (2012). Analysis of a “/0” Stealth Scan from a Botnet. Retrieved October 20, 2020.
  3. FireEye Intelligence . (2018, October 23). TRITON Attribution: Russian Government-Owned Lab Most Likely Built Custom Intrusion Tools for TRITON Attackers. Retrieved April 16, 2019.
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