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CVSS: 9.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H 🐛 CWE-502
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2023-51641

CVE-2023-51641 Remote Code Execution in Allegra
📅 PUBLISHED: 2024-11-22 20:05 UTC 🔄 UPDATED: 2026-08-12 09:01 UTC
[ ZERO-DAY / UNPATCHED ] [ DEFENSE PATCH ↓ ]
💣 PoC: Public
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 6.28%
👁️
6.28% probability
157.0× above the median CVE
Tier: HIGH
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1190
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: UNKNOWN / CHECK VENDOR
CVSS VECTOR BREAKDOWN 9.8
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: L Privileges Required Low
UI: N User Interaction None
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
9.8
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2023-51641 is a critical unauthenticated (with registration) remote code execution vulnerability in Allegra, a project management and help desk platform. The flaw resides in the renderFieldMatch method, which deserializes untrusted user-supplied data without proper validation. An attacker can register a low-privileged account and then exploit this deserialization to execute arbitrary code in the context of the LOCAL SERVICE account. The CVSS score is 9.8 (Critical), and no official patch or public exploit code has been released as of this report. The vulnerability is weaponizable for initial access, persistence, and lateral movement within an organization's network.

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Supply Chain & Package Security

This vulnerability is not related to an open-source package (NPM, PyPI, Go, Ruby). Allegra is a proprietary commercial application. The risk is primarily to organizations that self-host Allegra or use it as a managed service. No supply chain indicators are available.

CVSS Breakdown & Threat Level

  • CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
  • Base Score: 9.8 (Critical)
  • Attack Vector: Network (AV:N) – Exploitable remotely.
  • Attack Complexity: Low (AC:L) – No special conditions required.
  • Privileges Required: Low (PR:L) – Attacker needs a valid user account, but registration is open.
  • User Interaction: None (UI:N) – No user action needed.
  • Scope: Unchanged (S:U) – Exploit stays within the affected component.
  • Confidentiality Impact: High (C:H) – Full data access.
  • Integrity Impact: High (I:H) – Full data modification.
  • Availability Impact: High (A:H) – Potential denial of service or system takeover.

Threat Level: Critical. The combination of low privileges required, no user interaction, and high impact makes this a top-priority vulnerability for patching or mitigation.

Deep Dive & Mechanics

The vulnerability is a classic deserialization of untrusted data (CWE-502) in the renderFieldMatch method of Allegra. Deserialization flaws occur when an application reconstructs objects from serialized data (e.g., Java serialization, PHP serialization, or .NET binary serialization) without validating the data's integrity or origin. An attacker can craft a malicious serialized object that, when deserialized, executes arbitrary code.

Attack Flow:

  1. Registration: The attacker registers a new user account via Allegra's public registration endpoint.
  2. Authentication: The attacker logs in with the newly created account (privilege level sufficient to access the vulnerable endpoint).
  3. Exploitation: The attacker sends a crafted HTTP request to the renderFieldMatch endpoint, containing a malicious serialized payload in the request body or parameters.
  4. Deserialization: Allegra's backend deserializes the payload without validation, triggering the execution of attacker-controlled code.
  5. Code Execution: The code runs in the context of the LOCAL SERVICE account, which has high privileges on the Windows server (typically NT AUTHORITY\LOCAL SERVICE). This allows the attacker to install malware, exfiltrate data, or pivot to other systems.

Why it's dangerous: The LOCAL SERVICE account has network access and can interact with other services on the same host, making lateral movement easier. Additionally, the vulnerability does not require administrative privileges to exploit.

Vulnerable vs. Patched Code

No official patch has been released. The vulnerable code is in the renderFieldMatch method. A patched version would likely include:

  • Input validation: Rejecting serialized data that does not match expected types.
  • Whitelist deserialization: Only allowing specific, safe classes to be deserialized.
  • Use of safe deserialization libraries: Switching to JSON or other safe formats.

Vulnerable Code (Conceptual):

public void renderFieldMatch(HttpServletRequest request) {
    String data = request.getParameter("fieldData");
    ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(Base64.getDecoder().decode(data)));
    Object obj = ois.readObject(); // Unsafe deserialization
    // ... process obj
}

Patched Code (Conceptual):

public void renderFieldMatch(HttpServletRequest request) {
    String data = request.getParameter("fieldData");
    // Validate input is not serialized
    if (isSerialized(data)) {
        throw new SecurityException("Deserialization not allowed");
    }
    // Use safe parsing (e.g., JSON)
    JsonObject obj = new Gson().fromJson(data, JsonObject.class);
    // ... process obj
}

Exploitation & Lab Setup

Red Team (Offensive)

Prerequisites:

  • A running Allegra instance (e.g., version 10.x or earlier).
  • A registered user account (use registration endpoint).
  • Knowledge of the vulnerable endpoint (likely /api/renderFieldMatch or similar).

Exploitation Steps:

  1. Identify the endpoint: Use a web proxy (Burp Suite) to intercept traffic and find the renderFieldMatch endpoint.
  2. Craft a malicious payload: Use a tool like ysoserial (for Java) or ysoserial.net (for .NET) to generate a gadget chain that executes a command (e.g., reverse shell).
    java -jar ysoserial.jar CommonsCollections1 'cmd /c powershell -e <base64_encoded_payload>' > payload.bin
    
  3. Encode the payload: Base64-encode the serialized object.
  4. Send the request:
    POST /api/renderFieldMatch HTTP/1.1
    Host: target.allegra.com
    Cookie: JSESSIONID=...
    Content-Type: application/x-www-form-urlencoded
    
    fieldData=<base64_encoded_payload>
    
  5. Receive shell: The server executes the command, and you get a reverse shell as LOCAL SERVICE.

Note: No public exploit code is available. The above is a generic deserialization attack pattern.

Blue Team (Defensive)

Detection:

  • Monitor for unusual deserialization activity (e.g., large Base64 strings in POST parameters).
  • Look for outbound connections from the Allegra service to unknown IPs.
  • Use the YARA and Sigma rules below.

Hunting:

  • Search logs for renderFieldMatch endpoint calls with suspicious payloads.
  • Check for new user accounts created just before exploitation.

Containment:

  • Disable user registration if not needed.
  • Restrict network access to the Allegra server.
  • Apply virtual patching via WAF (e.g., block requests with fieldData containing Base64-encoded serialized data).

Indicators of Compromise (IOCs)

Type Indicator Description
Network POST request to /api/renderFieldMatch with large fieldData parameter Exploitation attempt
File *.ser or *.bin files in Allegra temp directories Serialized payload artifacts
Process cmd.exe or powershell.exe spawned by Allegra service Post-exploitation activity
Network Outbound connection to attacker IP on port 4444 (or custom) Reverse shell
Registry New service or scheduled task created by LOCAL SERVICE Persistence

Detection Engineering

YARA Rule

rule CVE_2023_51641_Allegra_Deserialization {
    meta:
        description = "Detects serialized Java/.NET objects in Allegra renderFieldMatch requests"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2023-51641"
    strings:
        $java_serial = { AC ED 00 05 }  // Java serialization magic bytes
        $dotnet_serial = { 00 01 00 00 00 FF FF FF FF }  // .NET serialization header
        $base64_pattern = /[A-Za-z0-9+\/]{100,}={0,2}/  // Large Base64 string
    condition:
        ($java_serial or $dotnet_serial) and $base64_pattern
}

Sigma Rule

title: CVE-2023-51641 Allegra Deserialization Attempt
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects HTTP requests to Allegra renderFieldMatch with potential deserialization payloads
author: Valters IT
date: 2025-04-10
logsource:
    category: webserver
    product: allegra
detection:
    selection:
        cs-method: 'POST'
        cs-uri-stem: '/api/renderFieldMatch'
        cs-uri-query|contains: 'fieldData='
    condition: selection
falsepositives:
    - Legitimate large field data (rare)
level: high

Suricata Rule

alert http any any -> $ALLEGRA_SERVER any (
    msg:"CVE-2023-51641 Allegra Deserialization Attempt";
    flow:to_server,established;
    content:"POST"; http_method;
    content:"/api/renderFieldMatch"; http_uri;
    content:"fieldData="; http_client_body;
    pcre:"/fieldData=[A-Za-z0-9+\/]{100,}/";
    sid:1000001;
    rev:1;
    reference:cve,2023-51641;
    classtype:attempted-admin;
    priority:1;
)

Remediation & Mitigation

Immediate Actions:

  1. Disable user registration if not business-critical.
  2. Apply WAF rules to block requests with large Base64-encoded fieldData parameters.
  3. Restrict network access to the Allegra server (allow only trusted IPs).
  4. Monitor for exploitation using the provided detection rules.

Long-term Fix:

  • Contact Allegra vendor for an official patch.
  • If no patch is available, consider migrating to an alternative platform.
  • Implement input validation and safe deserialization practices in custom code.

Workaround:

  • If source code is available, modify the renderFieldMatch method to reject serialized data (e.g., check for Java serialization magic bytes AC ED 00 05).

Valters IT

👁️ SHODAN DORKS (THREAT HUNTING)

What is this? Security researchers use these exact search queries on Shodan.io (a search engine for internet-connected devices) to find vulnerable systems globally. You can copy these dorks to see if your organization's IP space is exposed.

http.title:"Allegra"
http.html:"Allegra"
Allegra

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