Куда я попал?
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.

Активное сканирование

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
Суб-техники:  .001 .002 .003
Тактика(-и): Reconnaissance
Платформы: PRE
Источники данных: Network Traffic: Network Traffic Content, Network Traffic: Network Traffic Flow
Версия: 1.0
Дата создания: 02 Oct 2020
Последнее изменение: 08 Mar 2022

Примеры процедур

Название Описание

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

Контрмеры

Контрмера Описание
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.

Обнаружение

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.

Каталоги

БДУ ФСТЭК:
УБИ.103 Угроза определения типов объектов защиты
Угроза заключается в возможности проведения нарушителем анализа выходных данных дискредитируемой системы с помощью метода, позво...

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