T1583.007: Serverless
Adversaries may purchase and configure serverless cloud infrastructure, such as Cloudflare Workers, AWS Lambda functions, or Google Apps Scripts, that can be used during targeting. By utilizing serverless infrastructure, adversaries can make it more difficult to attribute infrastructure used during operations back to them.
Once acquired, the serverless runtime environment can be leveraged to either respond directly to infected machines or to Proxy traffic to an adversary-owned command and control server.[1][2][3] As traffic generated by these functions will appear to come from subdomains of common cloud providers, it may be difficult to distinguish from ordinary traffic to these providers - making it easier to Hide Infrastructure.[4][1]
Analyst context for executives and security teams
Serverless infrastructure acquisition matters because an adversary can use trusted cloud-provider runtimes, such as Cloudflare Workers, AWS Lambda, or Google Apps Scripts, as part of pre-compromise resource development. For defenders, the business issue is not the serverless service itself; it is that malicious traffic may blend into normal connections to common cloud providers, complicating attribution, alert triage, and incident scoping.
Executive priority
Treat this as a cloud and SOC visibility question: can the organization distinguish legitimate business use of major serverless platforms from suspicious routing or command-and-control-like traffic? Leaders should prioritize evidence of outbound traffic governance, cloud service allowlisting decisions, and incident response playbooks for cases where infrastructure appears to be hosted under reputable cloud-provider domains.
Technical view
This is a PRE-platform resource-development sub-technique under Acquire Infrastructure. MITRE provides no official detection text, but the object is related to DET0829, Detection of Serverless, and to M1056, Pre-compromise. SOC and detection teams should validate whether network monitoring, proxy, DNS, and cloud-access telemetry can identify unusual interactions with serverless provider subdomains, especially where traffic may be used to proxy to adversary-controlled command-and-control infrastructure or to hide infrastructure.
Likely telemetry
- DNS queries and resolutions for serverless/cloud-provider subdomains
- Web proxy and secure web gateway logs showing outbound requests to common cloud-provider runtime domains
- Network flow metadata, including destination domains, IPs, ports, timing, and volume
- TLS/SNI and HTTP metadata where legally and technically available
- Cloud access security or SaaS access logs showing organizational use of serverless-related services
Detection direction
- Baseline normal organizational use of serverless platforms before treating cloud-provider domains as suspicious.
- Tune detections for unusual beacon-like timing, rare destinations, unexpected user agents, abnormal request patterns, or endpoints with no business reason to contact serverless runtimes.
- Avoid broad blocking or noisy alerting on major cloud providers without business context; false positives are likely where developers, automation, or SaaS integrations legitimately use these services.
- Use the relationship to Acquire Infrastructure to connect suspicious serverless traffic with other pre-compromise or command-and-control indicators rather than evaluating it in isolation.
- Validate whether DET0829-aligned analytics exist in the local environment, since the supplied ATT&CK object does not include official detection guidance.
Mitigation priorities
- Start with M1056-style pre-compromise controls: reduce unnecessary exposure, document approved cloud services, and make adversary preparation harder to use against the organization.
- Maintain policy and technical governance for outbound access to serverless and cloud-provider runtime domains based on business need.
- Ensure SOC and IR teams have access to DNS, proxy, and network telemetry needed to investigate cloud-provider subdomain traffic.
- Create response procedures for suspicious serverless traffic that include endpoint containment, traffic analysis, and validation of whether the service is legitimate business use.
- Use threat intelligence carefully to enrich suspicious destinations, while recognizing that provider-owned infrastructure can change quickly and may host both benign and malicious activity.
Analyst notes and limits
The object is a resource-development sub-technique, so the most useful defensive value is readiness: visibility, baselining, and response decision-making before or during an intrusion. The campaign relationship to APT41 DUST shows this behavior has ATT&CK relationship context, but the take does not infer current activity, customer exposure, or attribution beyond the supplied relationship.
MITRE does not provide official detection text for this technique in the supplied fields. The platforms field is PRE, not a runtime enterprise operating system or cloud account platform. Local business context is required to separate legitimate serverless use from suspicious use of common cloud-provider domains.
Serverless
Adversaries may purchase and configure serverless cloud infrastructure, such as Cloudflare Workers, AWS Lambda functions, or Google Apps Scripts, that can be used during targeting. By utilizing serverless infrastructure, adversaries can make it more difficult to attribute infrastructure used during operations back to them.
Once acquired, the serverless runtime environment can be leveraged to either respond directly to infected machines or to Proxy traffic to an adversary-owned command and control server.[1][2][3] As traffic generated by these functions will appear to come from subdomains of common cloud providers, it may be difficult to distinguish from ordinary traffic to these providers - making it easier to Hide Infrastructure.[4][1]
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Related techniques
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1583 | Acquire Infrastructure | This object subtechnique of Acquire Infrastructure. |
Groups, software, and campaigns
C0040: APT41 DUST
APT41 DUST was conducted by APT41 from 2023 to July 2024 against entities in Europe, Asia, and the Middle East. APT41 DUST targeted sectors such as shipping, logistics, and media for information gathering purposes. APT41 used previously-observed malware such as DUSTPAN as well as newly observed tools such as DUSTTRAP in APT41 DUST.[1]
All related ATT&CK context
Mitigation direction
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.1 | Current bundle | 68503f7a1f03… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
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[1]
BlackWater Malware Cloudflare Workers
Lawrence Abrams. (2020, March 14). BlackWater Malware Abuses Cloudflare Workers for C2 Communication. Retrieved July 8, 2022.
Open source URL -
[2]
AWS Lambda Redirector
Adam Chester. (2020, February 25). AWS Lambda Redirector. Retrieved July 8, 2022.
Open source URL -
[3]
GWS Apps Script Abuse 2021
Sergiu Gatlan. (2021, February 18). Hackers abuse Google Apps Script to steal credit cards, bypass CSP. Retrieved July 1, 2024.
Open source URL -
[4]
Detecting Command & Control in the Cloud
Gary Golomb. (n.d.). Threat Hunting Series: Detecting Command & Control in the Cloud. Retrieved July 8, 2022.
Open source URL -
[5]
mitre-attack T1583.007Open source URL
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