AWS Suspicious User Agent Fingerprint
Identifies successful AWS API calls where the CloudTrail user agent indicates offensive tooling or automated credential
verification. This includes the AWS CLI or Boto3 reporting a Kali Linux distribution fingerprint (distrib#kali), and
clients that identify as TruffleHog, which is commonly used to validate leaked secrets against live AWS APIs. These
patterns are uncommon for routine production workloads and may indicate compromised credentials, unauthorized access, or
security tooling operating outside approved scope.
Elastic rule (View on GitHub)
1[metadata]
2creation_date = "2025/04/11"
3integration = ["aws"]
4maturity = "production"
5updated_date = "2026/04/10"
6
7[rule]
8author = ["Elastic"]
9description = """
10Identifies successful AWS API calls where the CloudTrail user agent indicates offensive tooling or automated credential
11verification. This includes the AWS CLI or Boto3 reporting a Kali Linux distribution fingerprint (`distrib#kali`), and
12clients that identify as TruffleHog, which is commonly used to validate leaked secrets against live AWS APIs. These
13patterns are uncommon for routine production workloads and may indicate compromised credentials, unauthorized access, or
14security tooling operating outside approved scope.
15"""
16false_positives = [
17 """
18 Authorized penetration tests, red team exercises, or research activity may originate from Kali Linux. Internal
19 secret scanning pipelines may run TruffleHog with permission to reach AWS for verification. Validate the IAM
20 principal, source network, change records, and whether the activity matches documented security or DevSecOps
21 workflows.
22 """,
23]
24from = "now-6m"
25index = ["logs-aws.cloudtrail-*"]
26language = "eql"
27license = "Elastic License v2"
28name = "AWS Suspicious User Agent Fingerprint"
29note = """## Triage and Analysis
30
31### Investigating AWS Suspicious User Agent Fingerprint
32
33AWS CloudTrail records the user agent string for API requests, which can reveal the OS distribution and client tooling.
34Two high-signal patterns this rule covers are:
35
36- **Kali Linux fingerprint** — When the AWS CLI or Boto3 reports `distrib#kali`, the request likely came from a Kali
37 environment. Kali is widely used for penetration testing and adversarial tradecraft, so this is worth correlating with
38 identity, network context, and sensitivity of API actions.
39- **TruffleHog** — TruffleHog identifies itself in the user agent when verifying whether recovered credentials are still
40 valid. Observing it against your account may indicate leaked keys are being tested, including through supply-chain or
41 secret-scanning abuse by a third party.
42
43This detection focuses on **successful** API activity. Evaluate who performed the action, what was accessed or modified,
44and whether the source and tooling align with expectations.
45
46### Possible investigation steps
47
48**Identify the actor**
49- Review `aws.cloudtrail.user_identity.arn` and `aws.cloudtrail.user_identity.access_key_id` to determine which IAM
50 principal was used.
51- Check whether this principal normally uses CLI/SDK clients and whether Kali or TruffleHog is ever expected for their role.
52
53**Review access patterns and actions**
54- Examine API calls associated with the matched user agent for high-risk activity such as IAM changes, data access,
55 snapshot sharing, logging modification, or persistence-related actions.
56- Look for sequences indicating initial access or expansion, such as `GetSessionToken`, `AssumeRole`, or privilege
57 escalation attempts.
58- Determine whether the activity scope aligns with the principal’s intended permissions and business function.
59
60**Inspect source network and tooling context**
61- Review `source.ip`, `source.geo` fields, and ASN to determine whether the request originated from an expected corporate
62 network, VPN, CI/CD egress, or known security testing infrastructure.
63- Analyze `user_agent.original` to confirm which pattern matched (`distrib#kali` vs `TruffleHog`) and whether usage looks
64 interactive, scripted, or scanner-driven.
65- Sudden shifts from console-based access to CLI from an offensive distribution, or first-time TruffleHog against the
66 account, may indicate credential compromise or unauthorized scanning.
67
68**Correlate with surrounding activity**
69- Search for additional CloudTrail events tied to the same access key or session before and after this detection.
70- Look for evidence of follow-on actions such as resource creation, configuration changes, or attempts to disable logging
71 and monitoring services.
72- Assess whether the activity represents a single isolated request or part of a broader behavioral chain.
73
74### False positive analysis
75
76- Internal red team or authorized assessments may produce Kali-based AWS CLI or SDK traffic. Confirm scope, timing, and
77 authorization.
78- Organizational use of TruffleHog in CI to validate rotated keys or scan artifacts may generate this signal; restrict
79 exceptions to known roles, repositories, and egress IPs where possible.
80
81### Response and remediation
82
83- If the activity is unauthorized, immediately revoke or rotate the affected access keys or invalidate the active
84 session.
85- Review IAM permissions associated with the identity and reduce scope where possible to enforce least privilege.
86- Investigate for additional indicators of compromise, including unusual role assumptions, new credential creation, or
87 data access from the same identity.
88- Notify security operations and incident response teams if the activity aligns with known adversary behaviors or appears
89 part of a larger intrusion.
90- Consider adding guardrails or conditional access controls (such as source IP restrictions or MFA enforcement) for
91 sensitive IAM principals.
92
93### Additional information
94- **[AWS IR Playbooks](https://github.com/aws-samples/aws-incident-response-playbooks/blob/c151b0dc091755fffd4d662a8f29e2f6794da52c/playbooks/)**
95- **[AWS Customer Playbook Framework](https://github.com/aws-samples/aws-customer-playbook-framework/tree/a8c7b313636b406a375952ac00b2d68e89a991f2/docs)**
96- **[AWS Knowledge Center – Security Best Practices](https://aws.amazon.com/premiumsupport/knowledge-center/security-best-practices/)**
97"""
98references = [
99 "https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-event-reference-user-identity.html",
100 "https://www.sygnia.co/blog/sygnia-investigation-bybit-hack/",
101 "https://trufflesecurity.com/blog/trufflehog-in-your-logs",
102 "https://kudelskisecurity.com/research/investigating-two-variants-of-the-trivy-supply-chain-compromise",
103]
104risk_score = 47
105rule_id = "f80ea920-f6f5-4c8a-9761-84ac97ec0cb2"
106severity = "medium"
107tags = [
108 "Domain: Cloud",
109 "Data Source: AWS",
110 "Data Source: Amazon Web Services",
111 "Data Source: AWS CloudTrail",
112 "Tactic: Initial Access",
113 "Use Case: Cloud Threat Detection",
114 "Resources: Investigation Guide",
115]
116timestamp_override = "event.ingested"
117type = "eql"
118
119query = '''
120any where data_stream.dataset == "aws.cloudtrail"
121 and event.outcome == "success"
122 and (
123 (
124 stringContains(user_agent.original, "distrib#kali")
125 or stringContains(user_agent.original, "+kali")
126 or stringContains(user_agent.original, "kali-amd64")
127 or stringContains(user_agent.original, "kali-arm64")
128 ) or (
129 stringContains(user_agent.original, "TruffleHog")
130 or stringContains(user_agent.original, "trufflehog")
131 )
132 )
133'''
134
135
136[[rule.threat]]
137framework = "MITRE ATT&CK"
138
139[[rule.threat.technique]]
140id = "T1078"
141name = "Valid Accounts"
142reference = "https://attack.mitre.org/techniques/T1078/"
143
144[[rule.threat.technique.subtechnique]]
145id = "T1078.004"
146name = "Cloud Accounts"
147reference = "https://attack.mitre.org/techniques/T1078/004/"
148
149[rule.threat.tactic]
150id = "TA0001"
151name = "Initial Access"
152reference = "https://attack.mitre.org/tactics/TA0001/"
153
154[[rule.threat]]
155framework = "MITRE ATT&CK"
156
157[[rule.threat.technique]]
158id = "T1078"
159name = "Valid Accounts"
160reference = "https://attack.mitre.org/techniques/T1078/"
161
162[[rule.threat.technique.subtechnique]]
163id = "T1078.004"
164name = "Cloud Accounts"
165reference = "https://attack.mitre.org/techniques/T1078/004/"
166
167[rule.threat.tactic]
168id = "TA0005"
169name = "Defense Evasion"
170reference = "https://attack.mitre.org/tactics/TA0005/"
171[rule.investigation_fields]
172field_names = [
173 "@timestamp",
174 "user.name",
175 "user_agent.original",
176 "source.ip",
177 "aws.cloudtrail.user_identity.arn",
178 "aws.cloudtrail.user_identity.type",
179 "aws.cloudtrail.user_identity.access_key_id",
180 "aws.cloudtrail.resources.arn",
181 "aws.cloudtrail.resources.type",
182 "event.action",
183 "event.outcome",
184 "cloud.account.id",
185 "cloud.region",
186 "aws.cloudtrail.request_parameters",
187 "aws.cloudtrail.response_elements"
188]
Triage and Analysis
Investigating AWS Suspicious User Agent Fingerprint
AWS CloudTrail records the user agent string for API requests, which can reveal the OS distribution and client tooling. Two high-signal patterns this rule covers are:
- Kali Linux fingerprint — When the AWS CLI or Boto3 reports
distrib#kali, the request likely came from a Kali environment. Kali is widely used for penetration testing and adversarial tradecraft, so this is worth correlating with identity, network context, and sensitivity of API actions. - TruffleHog — TruffleHog identifies itself in the user agent when verifying whether recovered credentials are still valid. Observing it against your account may indicate leaked keys are being tested, including through supply-chain or secret-scanning abuse by a third party.
This detection focuses on successful API activity. Evaluate who performed the action, what was accessed or modified, and whether the source and tooling align with expectations.
Possible investigation steps
Identify the actor
- Review
aws.cloudtrail.user_identity.arnandaws.cloudtrail.user_identity.access_key_idto determine which IAM principal was used. - Check whether this principal normally uses CLI/SDK clients and whether Kali or TruffleHog is ever expected for their role.
Review access patterns and actions
- Examine API calls associated with the matched user agent for high-risk activity such as IAM changes, data access, snapshot sharing, logging modification, or persistence-related actions.
- Look for sequences indicating initial access or expansion, such as
GetSessionToken,AssumeRole, or privilege escalation attempts. - Determine whether the activity scope aligns with the principal’s intended permissions and business function.
Inspect source network and tooling context
- Review
source.ip,source.geofields, and ASN to determine whether the request originated from an expected corporate network, VPN, CI/CD egress, or known security testing infrastructure. - Analyze
user_agent.originalto confirm which pattern matched (distrib#kalivsTruffleHog) and whether usage looks interactive, scripted, or scanner-driven. - Sudden shifts from console-based access to CLI from an offensive distribution, or first-time TruffleHog against the account, may indicate credential compromise or unauthorized scanning.
Correlate with surrounding activity
- Search for additional CloudTrail events tied to the same access key or session before and after this detection.
- Look for evidence of follow-on actions such as resource creation, configuration changes, or attempts to disable logging and monitoring services.
- Assess whether the activity represents a single isolated request or part of a broader behavioral chain.
False positive analysis
- Internal red team or authorized assessments may produce Kali-based AWS CLI or SDK traffic. Confirm scope, timing, and authorization.
- Organizational use of TruffleHog in CI to validate rotated keys or scan artifacts may generate this signal; restrict exceptions to known roles, repositories, and egress IPs where possible.
Response and remediation
- If the activity is unauthorized, immediately revoke or rotate the affected access keys or invalidate the active session.
- Review IAM permissions associated with the identity and reduce scope where possible to enforce least privilege.
- Investigate for additional indicators of compromise, including unusual role assumptions, new credential creation, or data access from the same identity.
- Notify security operations and incident response teams if the activity aligns with known adversary behaviors or appears part of a larger intrusion.
- Consider adding guardrails or conditional access controls (such as source IP restrictions or MFA enforcement) for sensitive IAM principals.
Additional information
References
Related rules
- AWS Access Token Used from Multiple Addresses
- AWS IAM Long-Term Access Key First Seen from Source IP
- AWS IAM Long-Term Access Key Correlated with Elevated Detection Alerts
- AWS API Activity from Uncommon S3 Client by Rare User
- AWS Account Discovery By Rare User