detecting-s3-data-exfiltration-attempts
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and…
Skill by mukul975
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About
Use cases: cloud, data
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/detecting-s3-data-exfiltration-attempts
What's inside
- Skill name
detecting-s3-data-exfiltration-attempts- Description
- Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
- License
- Apache-2.0
- Instructions
- 313 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# Detecting S3 Data Exfiltration Attempts
## When to Use
- When GuardDuty detects anomalous S3 access patterns such as bulk downloads from unusual IPs
- When investigating suspected data breach involving S3-stored sensitive data
- When building detection rules for S3 data loss prevention monitoring
- When responding to Macie alerts about sensitive data being accessed or moved
- When compliance requires monitoring and logging of all access to classified data stores
**Do not use** for preventing data exfiltration (use S3 bucket policies, VPC endpoints, and SCPs), for data classification (use Amazon Macie discovery jobs), or for network-level exfiltration detection (use VPC Flow Logs with network analysis tools).
## Prerequisites
- CloudTrail configured with S3 data event logging (`GetObject`, `PutObject`, `CopyObject`)
- GuardDuty enabled with S3 Protection feature activated
- Amazon Macie enabled for sensitive data discovery in target buckets
- CloudWatch Logs or Athena for querying CloudTrail logs at scale
- VPC endpoint policies configured for S3 access monitoring
## Workflow
### Step 1: Enable S3 Data Event Logging in CloudTrail
Configure CloudTrail to capture all S3 object-level operations for forensic analysis.
```bash
# Enable S3 data events on an existing trail
aws cloudtrail put-event-selectors \
--trail-name management-trail \
--event-selectors '[{
"ReadWriteType": "All",
"IncludeManagementEvents": true,
"DataResources": [{
"Type": "AWS::S3::Object",
"Values": ["arn:aws:s3:::sensitive-data-bucket/", "arn:aws:s3:::customer-records/"]
}]
}]'
# Verify data event configuration
aws cloudtrail get-event-selectors --trail-name management-trail \
--query 'EventSelectors[*].DataResources' --output json
# Enable GuardDuty S3 Protection
aws guardduty update-detector \
--detector-id $(aws guardduty list-detectors --query 'DetectorIds[0]' --output text) \
--data-sources '{"S3Logs":{"Enable":true}}'
```
### Step 2: Query CloudTrail for Anomalous S3 Access Patterns
Analyze CloudTrail logs for bulk download activity, unusual access times, and unfamiliar source IPs.
```bash
# Athena query: Top S3 downloaders by volume in last 24 hours
cat << 'EOF'
SELECT
useridentity.arn as principal,
sourceipaddress,
COUNT(*) as request_count,
SUM(CAST(json_extract_scalar(requestparameters, '$.bytesTransferredOut') AS bigint)) as bytes_downloaded
FROM cloudtrail_logs
WHERE eventname = 'GetObject'
AND eventsource = 's3.amazonaws.com'
AND eventtime > date_add('hour', -24, now())
GROUP BY useridentity.arn, sourceipaddress
ORDER BY request_count DESC
LIMIT 50
EOF
# CloudWatch Logs Insights: S3 GetObject requests from unusual IPs
aws logs start-query \
--log-group-name cloudtrail-logs \
--start-time $(date -d "24 hours ago" +%s) \
--end-time $(date +%s) \
--query-string '
fields @timestamp, userIdentity.arn, sourceIPAddress, requestParameters.bucketName, requestParameters.key
| filter eventName = "GetObject"
| stats count() as requestCount by sourceIPAddress, userIdentity.arn
| sort requestCount desc
| limit 25
'
# Detect cross-account copies (potential exfiltration)
aws logs start-query \
--log-group-name cloudtrail-logs \
--start-time $(date -d "7 days ago" +%s) \
--end-time $(date +%s) \
--query-string '
fields @timestamp, userIdentity.arn, sourceIPAddress, requestParameters.bucketName
| filter eventName in ["CopyObject", "ReplicateObject", "UploadPart"]
| filter userIdentity.accountId != "OUR_ACCOUNT_ID"
| sort @timestamp desc
| limit 100
'
```
### Step 3: Review GuardDuty S3 Findings
Check for GuardDuty S3-specific finding types that indicate exfiltration activity.
```bash
# List active S3 exfiltration-related findings
aws guardduty list-findings \
--detector-id $(aws guardduty list-detectors --query 'DetectorIds[0]' --output text) \
--finding-criteria '{
"Criterion": {
"type": {
"Eq": [
"Exfiltration:S3/MaliciousIPCaller",
"Exfiltration:S3/ObjectRead.Unusual",
"Discovery:S3/MaliciousIPCaller.Custom",
"Discovery:S3/BucketEnumeration.Unusual",
"UnauthorizedAccess:S3/MaliciousIPCaller.Custom",
"UnauthorizedAccess:S3/TorIPCaller",
"Impact:S3/AnomalousBehavior.Delete"
]
}
}From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Jun 1, 2026 (5 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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detecting-s3-data-exfiltration-attempts skill. Agent Mart. https://agentmart.dev/skills/mukul975-detecting-s3-data-exfiltration-attempts (last updated 2026-10-24)