
Detecting stealthy command-line activity that may indicate dark web access or anonymized traffic is a growing challenge for security teams. Tools like curl.exe
—while entirely legitimate—can be leveraged by advanced threats to route traffic through proxy networks or TOR.
This is where Uncoder AI’s Full Summary capability provides crucial context. When applied to SentinelOne Query Language (Events), the feature transformed a dense detection rule into a fully digestible narrative—highlighting both its purpose and potential impact.
Detection Focus: Curl.exe with TOR or Proxy Indicators
This SentinelOne query targets executions of the curl.exe
binary with command-line parameters suggesting interaction with:
- SOCKS proxy protocols, such as
socks5h://
,socks5://
, andsocks4a://
- Tor-specific endpoints, particularly URLs containing
.onion
These indicators point to attempts at routing traffic through anonymized proxy layers—commonly associated with dark web browsing, evasion techniques, or data exfiltration.
Full Summary Breakdown
Uncoder AI’s Full Summary automatically decomposed the rule into its key components:
- Executable Match: The query triggers when the process path includes
curl.exe
, flagging usage of the standard command-line web client. - Command-Line Match: It specifically looks for known patterns (
socks5h://
,.onion
, etc.) often used in anonymization or TOR access.
The AI explanation also contextualized these strings, noting their relevance to proxy-based communication, anonymity infrastructure, and malicious network behavior.
Why It Matters
While not all uses of SOCKS proxies or .onion domains are malicious, in endpoint telemetry, their appearance within curl.exe activity is uncommon and potentially risky. Attackers can abuse this method to:
- Bypass traditional logging and visibility
- Reach out to hidden C2 servers on the dark web
- Move data off-network without detection
This type of behavior, especially when automated or repeated, can be indicative of advanced tooling—such as the Kalambur backdoor or other TOR-enabled implants.
Security Response Enablement
With Full Summary, defenders instantly understand what the detection looks for and why it matters. It supports quicker decision-making around response actions, including:
- Deep packet inspection of the suspected process
- Reviewing endpoint history to identify persistence mechanisms
- Correlating behavior across hosts for signs of broader compromise
The post Investigating Curl-Based TOR Proxy Access with Uncoder AI and SentinelOne Query Language appeared first on SOC Prime.