T1040 Network Sniffing
EnterpriseAdversaries may passively sniff network traffic to capture information about an environment, including authentication material passed over the network. Network sniffing refers to using the network interface on a system to monitor or capture information sent over a wired or wireless connection. An adversary may place a network interface into promiscuous mode to passively access data in transit over the network, or use span ports to capture a larger amount of data. Data captured via this technique may include user credentials, especially those sent over an insecure, unencrypted protocol. Techniques for name service resolution poisoning, such as Name Resolution Poisoning and SMB Relay, can also be used to capture credentials to websites, proxies, and internal systems by redirecting traffic to an adversary. Network sniffing may reveal configuration details, such as running services, version numbers, and other network characteristics (e.g. IP addresses, hostnames, VLAN IDs) necessary for subsequent Lateral Movement and/or Stealth activities. Adversaries may likely also utilize network sniffing during Adversary-in-the-Middle (AiTM) to passively gain additional knowledge about the environment. In cloud-based environments, adversaries may still be able to use traffic mirroring services to sniff network traffic from virtual machines. For example, AWS Traffic Mirroring, GCP Packet Mirroring, and Azure vTap allow users to define specified instances to collect traffic from and specified targets to send collected traffic to. Often, much of this traffic will be in cleartext due to the use of TLS termination at the load balancer level to reduce the strain of encrypting and decrypting traffic. The adversary can then use exfiltration techniques such as Transfer Data to Cloud Account in order to access the sniffed traffic. On network devices, adversaries may perform network captures using Network Device CLI commands such as `monitor capture`.
Plattformen
Plattformen, für die dies gilt.
Taktiken
ATT&CK-Taktiken, denen diese Technik dient.
Gegenmaßnahmen
ATT&CK-Gegenmaßnahmen, die dies verringern.
Erkannt durch (6)
Datenkomponenten, die dies erkennen.
Abgewehrt durch (D3FEND)
D3FEND-Gegenmaßnahmen dagegen.
NIST CSF 2.0 — Relevanzbereiche (Protect / Detect)
NIST-CSF-2.0-Bereiche mit dem größten Bezug (belegbasiert).
- PR.AAIdentity Management, Authentication, and Access Controlstark · gestützt durch 6 von 12 zugeordneten Controls
- PR.DSData Securitymoderat · gestützt durch 4 von 12 zugeordneten Controls
- DE.CMContinuous Monitoringschwach · gestützt durch 2 von 12 zugeordneten Controls
Abgeleitet aus MITRE CTID (Apache-2.0) und dem NIST-800-53-↔-CSF-Crosswalk (gemeinfrei). Eine indikative Relevanz entlang der Protect-/Detect-Achse — keine Compliance-Bewertung und keine Abdeckungsaussage.
Mindernde Maßnahmen (12)
Sicherheitskontrollen, die dies mindern.
bekannt ausgenutzte CVEs (2)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2022-1040US | critical9.8OT kritisch | KEV | ||
An authentication bypass vulnerability in the User Portal and Webadmin allows a remote attacker to execute code in Sophos Firewall version v18.5 MR3 and older. | ||||
| CVE-2021-32030US | critical9.8OT kritisch | KEV | ||
The administrator application on ASUS GT-AC2900 devices before 3.0.0.4.386.42643 and Lyra Mini before 3.0.0.4_384_46630 allows authentication bypass when processing remote input fr… | ||||
Angriffsmuster (3)
CAPEC-Angriffsmuster, die dies ausnutzen.
Gruppen (8)
Zugehörige Bedrohungsgruppen.
Software (17)
Zugehörige Malware und Tools.
Kampagnen (3)
Kampagnen, die dies verwenden.
Erkannt durch (Sigma) (9)
Zugehörige Sigma-Erkennungsregeln.
Quelle
Wo diese Definition veröffentlicht ist.