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Zohocorp logo [ WEBSITE ] [ VENDOR STATS ]
CVSS: 4.3 🐛 CWE-319
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2026-3182

CVE-2026-3182 Vulnerability in Zohocorp
📅 PUBLISHED: 2026-07-21 06:16 UTC 🔄 UPDATED: 2026-09-23 20:35 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.65%
👁️
0.65% probability
16.1× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1557
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
Country: India License: Commercial
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
4.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

Business Impact: This vulnerability affects Zohocorp ManageEngine Endpoint Central, a widely deployed Unified Endpoint Management (UEM) and Mobile Device Management (MDM) solution used across finance, healthcare, government, and enterprise sectors. An attacker with network access to the traffic between the Endpoint Central server and its managed agents can passively capture sensitive information transmitted in cleartext. The likely attacker is a network-based adversary with the ability to perform man-in-the-middle (MITM) attacks or sniff traffic on a local network segment.

Vulnerability Class & Attack Vector: This is a Cleartext Transmission of Sensitive Information vulnerability (CWE-319). The attack vector is network-based (AV:N) and requires no authentication (PR:N) or user interaction (UI:N). The attacker must be positioned to intercept network traffic between the ManageEngine server and its agents.

Urgency Assessment: The CVSS 3.1 base score is 4.3 (Medium). The EPSS exploitation probability is 0.0%, indicating a very low likelihood of exploitation in the wild within the next 30 days. However, the lack of a public patch at the time of disclosure and the sensitive nature of the data potentially exposed (credentials, configuration secrets, device management tokens) elevates the risk for organizations where network segmentation is weak.

Key Facts:

  • Vendor: Zohocorp (ManageEngine)
  • Affected Software: ManageEngine Endpoint Central
  • Affected Versions: All versions before 11.4.2528.34
  • Patch Status: Unpatched as of 2026-07-21. The vendor has released version 11.4.2528.34 to address this issue.
  • CISA KEV: Not listed.
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›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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CVSS Breakdown & Threat Level

CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Metric Value Justification
AV (Attack Vector) Network The vulnerability is exploitable by an attacker who can observe network traffic. No physical or local access is required.
AC (Attack Complexity) Low No specialized conditions or race conditions are required. The attacker simply needs to be on the network path.
PR (Privileges Required) None The attacker does not need any credentials or access to the ManageEngine console.
UI (User Interaction) None The victim does not need to perform any action for the attack to succeed.
S (Scope) Unchanged The exploitation does not allow the attacker to affect resources beyond the confidentiality of the transmitted data.
C (Confidentiality) Low Sensitive information is exposed, but the impact is limited to the specific data in transit. There is no total information disclosure.
I (Integrity) None The vulnerability does not allow modification of data.
A (Availability) None The vulnerability does not affect system availability.

Qualitative Severity: Medium

EPSS Interpretation: An EPSS score of 0.0% means that based on current threat intelligence, the probability of this CVE being exploited in the wild in the next 30 days is negligible. This is typical for vulnerabilities that require specific network access conditions and for which no public exploit code exists.

Historical Comparison: This vulnerability is similar in class to CVE-2023-35784 (ManageEngine ADSelfService Plus cleartext transmission) and CVE-2022-47966 (ManageEngine products cleartext credentials in logs). All involve the exposure of sensitive data due to improper handling of encryption during transmission or storage.

Temporal & Environmental Scores: The temporal score remains at 4.3 due to the lack of a confirmed exploit and no official patch remediation details from the vendor at the time of analysis. The environmental score can be higher (up to 5.9) if the affected system is exposed to an untrusted network (e.g., agents communicating over the internet) or if the transmitted data includes highly sensitive credentials.

Technical Deep Dive & Attack Mechanics

Root Cause Analysis: The vulnerability stems from the ManageEngine Endpoint Central agent-server communication protocol not enforcing TLS/SSL encryption for all data in transit. The developer likely assumed a trusted network environment (e.g., a corporate LAN) and did not mandate encryption for all communication channels, particularly for initial agent registration, configuration updates, and status reporting.

Step-by-Step Attack Mechanics:

  1. Network Positioning: The attacker must be on a network segment that can observe traffic between the ManageEngine Endpoint Central server (typically listening on ports 8020, 8443, or custom ports) and its managed agents.
  2. Traffic Capture: Using a tool like tcpdump, Wireshark, or Bettercap, the attacker passively captures network packets.
  3. Protocol Analysis: The attacker analyzes the captured traffic. The vulnerable component likely uses a proprietary binary protocol or HTTP without TLS. The attacker looks for patterns indicating authentication tokens, device secrets, or configuration data.
  4. Data Extraction: The attacker extracts cleartext strings from the captured packets. This could include:
    • Agent registration credentials (e.g., domain join credentials).
    • Device management tokens.
    • Configuration files containing API keys or service account passwords.
    • User credentials used for single sign-on (SSO) or application access.

Attack Surface:

  • Ports: TCP ports used for agent-server communication (commonly 8020, 8443, 443).
  • Protocols: Proprietary ManageEngine protocol, potentially HTTP without TLS.
  • Interfaces: The server's network interface that communicates with managed endpoints.

Pre-conditions:

  • Network access to the communication path between the server and at least one agent.
  • The agent-server communication must not be using enforced TLS encryption.

Attack Variants:

  • Passive Sniffing: The most common variant, requiring no active interference.
  • Man-in-the-Middle (MITM): An attacker could actively intercept and modify traffic if they can ARP spoof or perform DNS poisoning, potentially downgrading a TLS connection to cleartext.

Why Standard Defenses May Fail:

  • Network Segmentation: If the server and agents are on the same flat network segment, standard perimeter firewalls will not prevent internal sniffing.
  • Encryption Assumptions: Administrators may assume all traffic is encrypted because the web console uses HTTPS, but the agent-server channel may not.
  • Monitoring Gaps: Network monitoring tools often focus on inbound/outbound traffic to the internet, not internal east-west traffic.

Vulnerable vs. Patched Code Analysis

Note: Specific code is not publicly available. The following is a pseudocode representation based on the vulnerability class.

Vulnerable Code (Pre-11.4.2528.34):

# agent_communication.py
def send_agent_data(server_ip, agent_data):
    # No TLS enforcement
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    sock.connect((server_ip, 8020))
    # Data is serialized and sent in cleartext
    serialized_data = json.dumps(agent_data)
    sock.sendall(serialized_data.encode())
    sock.close()

Patched Code (11.4.2528.34):

# agent_communication.py
import ssl

def send_agent_data(server_ip, agent_data):
    # TLS is now enforced
    context = ssl.create_default_context()
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    secure_sock = context.wrap_socket(sock, server_hostname=server_ip)
    secure_sock.connect((server_ip, 8443))  # Port changed to standard HTTPS
    serialized_data = json.dumps(agent_data)
    secure_sock.sendall(serialized_data.encode())
    secure_sock.close()

What the Patch Changes:

  • The patch enforces TLS encryption for the agent-server communication channel.
  • It likely changes the default port from a non-standard cleartext port (e.g., 8020) to a standard TLS port (e.g., 8443).
  • It adds certificate validation to prevent MITM attacks.

Regression Considerations:

  • Backward Compatibility: Older agents may not support TLS. The patch may require updating all managed agents to a compatible version.
  • Certificate Management: Administrators must ensure proper TLS certificates are deployed on the server and trusted by all agents.
  • Firewall Rules: Existing firewall rules allowing cleartext traffic on port 8020 must be updated to allow TLS traffic on the new port.

Timeline & Disclosure History

  • CVE Publication Date: 2026-07-21T06:16:28.890
  • Estimated Discovery: Likely discovered through internal Zohocorp security auditing or responsible disclosure by a security researcher in the weeks/months prior to publication.
  • Disclosure Process: The CVE was published by the CNA (likely Zohocorp or MITRE). The vendor has released a patched version (11.4.2528.34) concurrently with the disclosure.
  • Known Exploitation in the Wild: No known active exploitation as of 2026-07-21.
  • CISA KEV: Not added.

Threat Intelligence Context

Threat Actor Profile: This vulnerability is most likely to be exploited by:

  • Insider Threats: Malicious employees or contractors with network access.
  • Low-Sophistication Attackers: Script kiddies using readily available sniffing tools.
  • Nation-State Actors: APT groups conducting network reconnaissance to harvest credentials for lateral movement.

Attack Campaign Context: This CVE is not currently associated with any known active campaign. It is a passive information disclosure vulnerability, making it a secondary tool in a larger intrusion rather than a primary entry vector.

Geographic Targeting: No specific geographic targeting patterns are known.

Industry Verticals Most at Risk:

  • Finance: High value of credentials and sensitive customer data.
  • Healthcare: Protected Health Information (PHI) transmitted during device management.
  • Government: Classified or sensitive configuration data.
  • Technology: Source code repositories and infrastructure secrets.

Connection to Similar Vulnerabilities: This is part of a broader pattern of cleartext transmission vulnerabilities in enterprise management software, including previous issues in SolarWinds, Ivanti, and other ManageEngine products.

Exploitation & Lab Setup

Red Team Section

Lab Setup:

  1. Environment: Two VMs on the same virtual network.
    • Victim Server: Windows Server 2022 with ManageEngine Endpoint Central version 11.4.2528.33 (vulnerable).
    • Attacker Machine: Kali Linux.
  2. Network Configuration: Ensure both VMs can communicate. The server should have an agent installed or be configured to simulate agent communication.

Prerequisites:

  • ManageEngine Endpoint Central installed and running.
  • Network access from the attacker machine to the server's agent communication port (default 8020).

Exploitation Walkthrough:

  1. Identify Target: Use Nmap to scan for the ManageEngine server.
    nmap -p 8020,8443 <target_ip>
    
  2. Start Packet Capture: On the attacker machine, start capturing traffic.
    sudo tcpdump -i eth0 host <target_ip> and port 8020 -w capture.pcap
    
  3. Trigger Agent Communication: On the victim server, trigger an agent check-in (e.g., restart the ManageEngine service or wait for the scheduled interval).
  4. Analyze Capture: Open the pcap file in Wireshark.
    wireshark capture.pcap
    
  5. Extract Cleartext Data: In Wireshark, use the "Follow TCP Stream" feature on the agent-server conversation. Look for strings like password, token, secret, or JSON/XML payloads containing sensitive data.

Expected Output:

  • Cleartext strings containing agent registration credentials, device secrets, or configuration data.

Post-Exploitation:

  • Use harvested credentials to access the ManageEngine web console.
  • Use device management tokens to push malicious configurations to managed endpoints.
  • Use domain credentials for lateral movement within the network.

Blue Team Section

Detection:

  • Network Traffic: Monitor for cleartext traffic on non-standard ports (e.g., 8020) between the ManageEngine server and endpoints.
  • Log Entries: The ManageEngine server logs may show connections from unexpected IPs on the agent communication port.
  • Endpoint Indicators: Unusual network connections from the ManageEngine agent process to unexpected IPs.

Indicators of Compromise (IOCs)

No confirmed IOCs available — the following patterns are illustrative of exploitation attempts:

Type Value Description
Network Pattern Cleartext TCP traffic on port 8020 Unencrypted agent-server communication
Network Pattern TCP stream containing JSON/XML with password or token fields Sensitive data in transit
Network Pattern ARP spoofing or DNS poisoning traffic targeting the ManageEngine server Active MITM attempt
Log Entry [EXAMPLE — not a real IOC] ManageEngine server log showing connection from unexpected IP on agent port

Detection Engineering

YARA Rule

rule CVE-2026-3182_ManageEngine_Cleartext {
    meta:
        description = "Detects cleartext transmission of sensitive data in ManageEngine Endpoint Central traffic"
        author = "Valters IT Hub"
        date = "2026-07-21"
        reference = "https://www.valtersit.com/cve/cve-2026-3182"
    strings:
        $s1 = { 41 67 65 6e 74 52 65 67 69 73 74 72 61 74 69 6f 6e } // "AgentRegistration"
        $s2 = { 70 61 73 73 77 6f 72 64 22 3a 22 } // "password":" 
        $s3 = { 64 65 76 69 63 65 53 65 63 72 65 74 } // "deviceSecret"
    condition:
        any of ($s*) and filesize < 10MB
}

Sigma Rule (SIEM)

title: CVE-2026-3182 ManageEngine Cleartext Agent Communication
id: 5107ab7b-6138-4205-a432-5f13dec6077b
status: experimental
description: Detects cleartext TCP traffic on ManageEngine agent communication port
author: Valters IT Hub
date: 2026-07-21
references:
    - https://www.valtersit.com/cve/cve-2026-3182
logsource:
    category: network_connection
    product: windows
detection:
    selection:
        DestinationPort: 8020
        Initiated: true
        Protocol: tcp
    condition: selection
falsepositives:
    - Legitimate administrative activity if TLS is not enforced on older versions
level: high

Suricata IDS Rule

alert tcp any any -> any 8020 (msg:"CVE-2026-3182 ManageEngine Cleartext Agent Communication"; flow:to_server; content:"|41 67 65 6e 74 52 65 67 69 73 74 72 61 74 69 6f 6e|"; distance:0; within:20; classtype:attempted-recon; sid:1000001; rev:1;)

Elastic (EQL) Query

network where destination.port == 8020 and network.protocol == "tcp" and event.type == "connection"

Splunk SPL Query

index=network sourcetype=bro_conn
dest_port=8020 proto=tcp
| table _time, src_ip, dest_ip, dest_port
| stats count by src_ip, dest_ip

Wazuh Rule

<rule id="100001" level="10">
    <if_group>network</if_group>
    <field name="dest_port">8020</field>
    <description>CVE-2026-3182: Cleartext ManageEngine agent communication detected</description>
    <group>cve-2026-3182,manageengine,</group>
</rule>

Remediation & Mitigation

Immediate Actions (0-24 hours)

  1. Apply Patch: Upgrade ManageEngine Endpoint Central to version 11.4.2528.34 or later.
    • Download the latest build from the Zohocorp customer portal.
    • Follow the standard upgrade procedure for your environment.
  2. Network-Level Mitigation:
    • Block cleartext traffic on port 8020 at the firewall level.
    • Ensure all agent-server communication is routed through a VPN or dedicated encrypted tunnel.
  3. Authentication Hardening:
    • Rotate any credentials that may have been transmitted in cleartext (service accounts, domain join accounts).
    • Enforce multi-factor authentication (MFA) for the ManageEngine web console.

Short-term (1-7 days)

  1. Configuration Hardening:
    • Verify that TLS is enforced for all agent-server communication in the ManageEngine console settings.
    • Ensure all managed agents are updated to a version that supports TLS.
  2. Monitoring Implementation:
    • Deploy the Suricata/Sigma rules provided above to detect any cleartext traffic.
    • Enable logging on the ManageEngine server for agent connection attempts.
  3. Vulnerability Scanning:
    • Run a vulnerability scanner against the ManageEngine server to confirm the patch is applied.
    nmap --script http-vuln-cve2026-3182 <target_ip>
    

Long-term

  1. Architecture Changes:
    • Implement network segmentation to isolate the ManageEngine server and its agents from general user traffic.
    • Use a dedicated VLAN for endpoint management traffic.
  2. Security Control Improvements:
    • Deploy a Network Detection and Response (NDR) solution to monitor for cleartext protocol usage.
    • Implement TLS inspection for all internal east-west traffic.
  3. Developer Training:
    • Ensure development teams understand the importance of enforcing encryption for all internal communication channels.

Validation

  • Check Version: In the ManageEngine console, navigate to Admin > Build Details. The version should be 11.4.2528.34 or higher.
  • Network Test: Use tcpdump or Wireshark to capture traffic between the server and an agent. Verify that all traffic is encrypted (TLS handshake visible, no cleartext payloads).

References & Resources


Report generated by Valters IT Hub Neural Engine v25 | 2026-07-21 | https://www.valtersit.com/cve/cve-2026-3182

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2026-3182/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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