Cross-source coverage

T1598 / ATT&CK

Phishing for Information

7 rules across 4 sources.

From MITRE ATT&CK 19.2

Adversaries may send phishing messages to elicit sensitive information that can be used during targeting. Phishing for information is an attempt to trick targets into divulging information, frequently credentials or other actionable information. Phishing for information is different from Phishing in that the objective is gathering data from the victim rather than executing malicious code.

All forms of phishing are electronically delivered social engineering. Phishing can be targeted, known as spearphishing. In spearphishing, a specific individual, company, or industry will be targeted by the adversary. More generally, adversaries can conduct non-targeted phishing, such as in mass credential harvesting campaigns.

Adversaries may also try to obtain information directly through the exchange of emails, instant messages, or other electronic conversation means. Victims may also receive phishing messages that direct them to call a phone number where the adversary attempts to collect confidential information.

Phishing for information frequently involves social engineering techniques, such as posing as a source with a reason to collect information (ex: Establish Accounts or Compromise Accounts) and/or sending multiple, seemingly urgent messages. Another way to accomplish this is by Email Spoofing the identity of the sender, which can be used to fool both the human recipient as well as automated security tools.

Phishing for information may also involve evasive techniques, such as removing or manipulating emails or metadata/headers from compromised accounts being abused to send messages (e.g., Email Hiding Rules).

Tactics
Reconnaissance
Platforms
PRE
Telemetry
Network TrafficApplication Log

How MITRE says to detect it DET0823

Detection of Phishing for Information

PRE Analytic 1955

Monitor and analyze traffic patterns and packet inspection associated to protocol(s) that do not follow the expected protocol standards and traffic flows (e.g extraneous packets that do not belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure). Consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns (e.g. monitor anomalies in use of files that do not normally initiate connections for respective protocol(s)). Depending on the specific method of phishing, the detections can vary. Monitor for suspicious email activity, such as numerous accounts receiving messages from a single unusual/unknown sender. Filtering based on DKIM+SPF or header analysis can help detect when the email sender is spoofed. When it comes to following links, monitor for references to uncategorized or known-bad sites. URL inspection within email (including expanding shortened links) can also help detect links leading to known malicious sites. Monitor social media traffic for suspicious activity, including messages requesting information as well as abnormal file or data transfers (especially those involving unknown, or otherwise suspicious accounts). Monitor call logs from corporate devices to identify patterns of potential voice phishing, such as calls to/from known malicious phone numbers. Monitor network data for uncommon data flows. Processes utilizing the network that do not normally have network communication or have never been seen before are suspicious.

  • Network Traffic None
  • Application Log None
  • Network Traffic None

View on attack.mitre.org ↗

Sub-techniques with coverage

Counted in the 7 above — a rule tagged a sub-technique covers this technique too.

panther-labs/panther-analysis

3 rules
Detection Severity Format
Potential Compromised Okta Credentials Critical Panther Python
Proofpoint Phishing Email Detected High Panther Python
Spam Email Surge Medium Panther Python

splunk/security_content

2 rules
Detection Severity Format
Cisco Secure Firewall - Rare Snort Rule Triggered Undefined SPL
Windows RDP File Execution Undefined SPL

Azure/Azure-Sentinel

1 rule
Detection Severity Format
Suspicious link sharing pattern Low KQL

SigmaHQ/sigma

1 rule
Detection Severity Format
HTML File Opened From Download Folder Low Sigma

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