Detect Determine Physical Locations in Sumo Logic CSE
Adversaries may gather the victim's physical location(s) that can be used during targeting. Information about physical locations of a target organization may include a variety of details, including where key resources and infrastructure are housed. Physical locations may also indicate what legal jurisdiction and/or authorities the victim operates within. Adversaries may gather this information via direct elicitation through phishing for information, by searching victim-owned websites, or by leveraging publicly accessible data sets such as SEC EDGAR filings, WHOIS registration records, and social media. This reconnaissance technique is largely external to the victim environment, making direct detection extremely limited. Observable signals include automated scraping of organization-owned web properties, OSINT tool execution on managed endpoints, and email-based location elicitation attempts.
MITRE ATT&CK
- Tactic
- Reconnaissance
- Technique
- T1591 Gather Victim Org Information
- Sub-technique
- T1591.001 Determine Physical Locations
- Canonical reference
- https://attack.mitre.org/techniques/T1591/001/
Sumo Detection Query
_sourceCategory=*sysmon* OR _sourceCategory=*endpoint*
| json auto
| where EventCode = 1
| eval ImageLower = lower(Image)
| eval CmdLower = lower(CommandLine)
| where matches(ImageLower, "nmap|masscan|nikto|shodan|theharvester|recon-ng|maltego|spiderfoot|dnsenum|arp-scan|zmap")
or matches(CmdLower, "\-sV |\-O |\-sC |\-p\s+\d|dnsenum|whois |hunter\.io")
| eval ToolCategory = if(matches(ImageLower, "nmap|masscan|zmap"), "Port Scanner",
if(matches(ImageLower, "theharvester|spiderfoot"), "OSINT Tool",
if(matches(ImageLower, "nikto"), "Web Scanner", "Recon Tool")))
| eval RiskScore = if(ToolCategory = "Port Scanner", 75,
if(ToolCategory = "OSINT Tool", 70, 60))
| stats count, values(CommandLine) AS Commands by _sourceHost, User, ToolCategory, RiskScore
| sort by RiskScore descSumo Logic detection for Determine Physical Locations. Detects indicators of physical location reconnaissance targeting the organization using two parallel branches. Branch 1 monitors CommonSecurityLog (WAF/proxy CEF-format logs) for automated scraping of
Data Sources
Required Tables
False Positives & Tuning
- Authorized OSINT assessments by internal red teams
- HR and talent acquisition teams using professional networking tools
- Marketing teams conducting authorized competitive intelligence research
- Security awareness programs researching employee exposure footprint
Other platforms for T1591.001
Testing Methodology
Validate this detection against 5 adversary techniques from Atomic Red Team. Each test below lists the behaviour to exercise and the telemetry you should expect to see. Executable commands and cleanup steps are available with Pro.
- Test 1theHarvester Domain Reconnaissance for Physical Location Data
Expected signal: Auditd syscall: execve() for 'theharvester' binary with -d and -b arguments. Sysmon for Linux Event ID 1 (if deployed): Image=theharvester, CommandLine contains '-d example.com -b google,bing,linkedin'. DNS queries: multiple resolution requests for subdomains of example.com. Network connections: outbound HTTPS (port 443) to Google, Bing, and LinkedIn APIs. File creation: /tmp/argus_location_recon.html and .xml output files.
- Test 2recon-ng Physical Location Module Execution
Expected signal: Process creation: recon-ng process with -w workspace and -C command arguments. Network connections: outbound HTTPS to whois servers and the recon-ng module data sources. File creation: ~/.recon-ng/workspaces/argus_test_workspace/ directory and data.db SQLite database. DNS queries for whois server hostnames.
- Test 3Automated HTTP Scraping of Organizational Location Pages
Expected signal: Web server access log entries: Multiple requests from 127.0.0.1 with UserAgent='python-requests/2.28.2' targeting /contact, /about, /locations, /offices, /headquarters, /find-us, /branches, /our-locations in rapid succession. Process creation (Sysmon Event ID 1): python3 process with inline script. Network connections (Sysmon Event ID 3): python3 to localhost:8080. UniqueURLs=8 exceeds the detection threshold of 4.
- Test 4WHOIS Registration Data Physical Address Extraction
Expected signal: Process creation: whois binary executed three times (one per domain), visible in Sysmon Event ID 1 with FileName=whois and domain argument in CommandLine. Network connections (Sysmon Event ID 3): TCP connections to port 43 (WHOIS protocol) to whois.iana.org, whois.verisign-grs.com, and registrar-specific WHOIS servers. DNS queries (Sysmon Event ID 22) for WHOIS server hostnames. Shell history: whois commands preserved in ~/.bash_history.
- Test 5SEC EDGAR Filing Search for Physical Address Disclosure
Expected signal: Process creation (Sysmon Event ID 1): curl execution with EDGAR URL as argument, FileName=curl. DNS query (Sysmon Event ID 22): efts.sec.gov DNS resolution from internal endpoint. Network connection (Sysmon Event ID 3): outbound HTTPS (port 443) to SEC EDGAR servers. File creation (Sysmon Event ID 11): /tmp/edgar_location_results.json. Shell history: curl command with EDGAR URL preserved.
References (12)
- https://attack.mitre.org/techniques/T1591/001/
- https://attack.mitre.org/techniques/T1591/
- https://www.sec.gov/edgar/search/
- https://threatpost.com/broadvoice-leaks-350m-records-voicemail-transcripts/160158/
- https://blog.google/threat-analysis-group/iranian-backed-threat-actor-techniques/
- https://github.com/laramies/theHarvester
- https://github.com/lanmaster53/recon-ng
- https://github.com/smicallef/spiderfoot
- https://www.maltego.com/
- https://learn.microsoft.com/en-us/azure/web-application-firewall/ag/ag-overview
- https://learn.microsoft.com/en-us/microsoft-365/security/defender/advanced-hunting-emailevents-table
- https://docs.splunk.com/Documentation/SplunkCloud/latest/SearchReference/Multisearch
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