CVE-2022-4001
Executive Summary
CVE-2022-4001 is an authentication bypass vulnerability affecting the Motorola Q14 Mesh Router. An unauthenticated attacker can exploit this flaw to access API functions without supplying valid credentials, potentially leading to full administrative control of the device, configuration manipulation, or network traffic interception. The vulnerability carries a CVSS base score of 7.3, indicating high severity, and while no CISA KEV listing or public PoC has been identified, the patch availability is only minimally confirmed, making prompt remediation advisable.
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Technical Analysis
The NVD description for CVE-2022-4001 states: "An authentication bypass vulnerability could allow an attacker to access API functions without authentication." This sparse description indicates a vulnerability class where the device's web-based or network-facing API fails to enforce authentication prior to executing functions. The affected product is the Motorola Q14 Mesh Router, a consumer-oriented wireless mesh networking device.
Vulnerability Class: Authentication Bypass (CWE-306: Missing Authentication for Critical Function)
The fundamental mechanism behind this class of vulnerability is the failure of the application to verify the identity of the requesting party before processing a request that triggers a sensitive operation. In many embedded device platforms, this arises from one or more of the following architectural deficiencies:
Insufficient Request Filtering — The HTTP API endpoint may be exposed on the network interface, and the routing logic fails to invoke an authentication middleware or session-validation check for specific URI paths or HTTP methods (e.g., GET, POST, PUT, DELETE).
Direct Function Invocation — The underlying web server may map incoming requests directly to backend functions (e.g., via Common Gateway Interface or a lightweight REST framework) without an intervening authentication layer. An attacker who can successfully guess or enumerate the API endpoint structure can invoke those functions directly.
Default or Empty Credentials Handling — In some cases, if session tokens or cookies are not required for certain operations, the application may default to "anonymous" access, bypassing the login gate entirely.
Logical Flaw in Session Management — Authentication checks may be present but could be bypassed through manipulation of HTTP headers (e.g., injecting a forged authorization header or a
X-Forwarded-Forvalue), cookie tampering, or exploiting array/type juggling in PHP-like languages (although the underlying stack of the Q14 is unknown).
Because the NVD description does not enumerate the specific API endpoints, method names, or transport protocol details, the exact attack path cannot be derived from public data. Insufficient technical detail is available regarding the precise implementation; the analysis above is based on the generalized authentication bypass class. The attack surface is the management interface of the device, which is typically exposed on the Local Area Network (LAN) side, and in misconfigured deployments, potentially on the Wide Area Network (WAN) side via port forwarding or UPnP.
Exploitation Scenarios
Given the limited public detail, the following attack chain is inferred strictly from the vulnerability class (authentication bypass) and general characteristics of consumer mesh routers.
Step 1: Reconnaissance / Target Identification
An attacker identifies a vulnerable Motorola Q14 Mesh Router on the network. This can be accomplished through:
- LAN-based discovery: Using tools like
nmapto scan for open HTTP ports (80, 443, 8080, 8443) and fingerprinting the device via its web server banner or default page title containing "Motorola" or "Q14". - WAN-based discovery (if exposed): Using Shodan or Censys to search for internet-facing devices with default credentials, banners, or specific response headers matching Motorola Q14 characteristics. If UPnP or port forwarding is enabled on the router, the management interface may be inadvertently internet-facing.
Step 2: Triggering the Flaw Class
The attacker sends HTTP requests to the device's management interface. Because authentication is missing, requests that should be rejected with a 401/403 (Unauthorized/Forbidden) are instead processed. The attacker crafts requests directly to known API endpoints (e.g., paths that typically handle configuration changes, WiFi settings, or reboot commands).
Step 3: Payload / Execution Method
At the vulnerability-class level, the attacker uses a standard HTTP client (e.g., curl, Burp Suite, custom script) to send crafted requests. The "payload" in this case is a legitimate HTTP request — potentially with modified parameters — to an unprotected API function. For example:
GET /api/system/reboot→ triggers a device reboot.POST /api/wifi/configwith modified JSON/XML payload → alters SSID, password, or encryption settings.GET /api/config/export→ exfiltrates current configuration including potentialadminpassword hashes.
Step 4: Post-Exploitation Impact
Once API access is obtained:
- Full configuration takeover: The attacker can change administrative credentials, map the device to rogue DNS servers, disable firewalls, or alter parent/child node configurations in the mesh.
- Network interception: The attacker could redirect DNS queries, route traffic through a malicious proxy, or enable remote management to maintain persistence.
- Use as pivot point: The compromised router can be leveraged as a foothold in the LAN for lateral movement to other devices, including computers, smartphones, and IoT devices.
- DDoS/botnet recruitment: In some cases, vulnerable routers are co-opted into botnets (e.g., Mirai and its variants) because of weak defaults and exposed management interfaces.
No public PoC is available; the attack chain is inferred from vulnerability class.
Impact Assessment
CVSS Score: 7.3 (High) — While the full CVSS vector is not provided, a score of 7.3 typically corresponds to a network-based, low-complexity attack with no user interaction and high confidentiality/integrity impact, likely with availability impact as well.
Business Impact:
- Confidentiality: An attacker can read device configuration files, potentially capturing ISP credentials, WiFi pre-shared keys, and network topology data.
- Integrity: Attackers can alter router firmware settings, redirecting traffic to malicious servers, causing man-in-the-middle attacks on all LAN clients.
- Availability: The device can be rebooted repeatedly (denial of service), or its firmware could be corrupted, bricking the device and severing internet connectivity for the household or small office.
Affected Systems:
- Motorola Q14 Mesh Router (all firmware versions before v1.5.0.16).
- Any home or small office network deploying this device.
Blast Radius:
- The blast radius is primarily confined to the local network segment behind the router, but can expand if the router is configured with remote management enabled or is directly exposed to the internet.
- Adjacent devices on the LAN (computers, printers, smart TVs, IoT devices) become second-order targets due to the attacker's presence on the network core via the router.
Exploitation Probability:
- EPSS score: 0.00342 (27.1st percentile) — suggests low near-term exploitation probability in the wild.
- No CISA KEV listing: not currently known to be utilized in active exploit campaigns.
- However, consumer routers are often low-hanging fruit for botnets; the low EPSS should not deter patching.
Detection Guidance
Detection of exploitation attempts for this CVE can be challenging because the attack uses valid HTTP requests without malformed payloads. The key differentiator is unauthorized access to admin-level APIs from a source that has not authenticated.
Sigma Rule
title: Motorola Q14 API Access Without Authentication
id: 42f1d2c5-8c4b-4a33-9a05-b43b1a0b1024
status: experimental
description: Detects HTTP requests to common API endpoints on Motorola Q14 without a prior successful login.
author: Valtersit Threat Intelligence
logsource:
category: webserver
product: motorola-q14
detection:
selection:
cs-method:
- 'GET'
- 'POST'
- 'PUT'
- 'DELETE'
cs-uri-query|contains:
- '/api/system'
- '/api/config'
- '/api/wifi'
- '/api/admin'
filter:
cs-username|exists: true
condition: selection and not filter
level: high
falsepositives:
- Legitimate management from authenticated internal admin
- HTTP health checks
fields:
- src_ip
- cs-uri-query
- cs-method
tags:
- attack.initial_access
- attack.t1190
- cve.2022-4001
YARA Rule
rule CVE_2022_4001_Motorola_Q14_Api_Probe {
meta:
author = "Valtersit Threat Intelligence"
description = "Detects HTTP payload strings likely probing unauthenticated API on Motorola Q14"
date = "2025-04-30"
cve = "CVE-2022-4001"
strings:
$api_str1 = "/api/system" ascii wide
$api_str2 = "/api/config" ascii wide
$api_str3 = "/api/wifi" ascii wide
$api_str4 = "reboot" ascii wide
$api_str5 = "ssid" ascii wide
$api_str6 = "export_config" ascii wide
condition:
any of ($api_str*) and filesize < 10KB
}
Note: Since no specific endpoint paths are confirmed, this rule is probabilistic and may need tuning based on actual device traffic. Capturing plaintext HTTP to the device is a prerequisite.
Suricata IDS Rule
alert http any any -> $HOME_NET any (msg:"CVE-2022-4001 Potential Motorola Q14 API Auth Bypass Attempt"; flow:to_server,established; content:"/api/"; http_uri; pcre:"/\/api\/(system|config|wifi|admin)\//iU"; classtype:attempted-admin; sid:20224001; rev:1; reference:cve,2022-4001; metadata:created_at 2025-04-30, updated_at 2025-04-30;)
Elastic Detection
sequence by source.ip
[network where event.category == "authentication" and event.outcome == "failure"]
[http where event.category == "http" and url.path like "*/api/*" and http.request.method in ("GET","POST","PUT","DELETE") and not user.name != null]
Explanation: This EQL rule looks for a failed authentication event followed by API access attempts, which could indicate an attacker who skipped the login step. In environments where no prior authentication is expected (e.g., direct HTTP), the sequence can be simplified to:
http where event.category == "http" and url.path like "*/api/*" and http.response.status_code != 401 and http.response.status_code != 403 and source.ip not in internal_admin_subnets
Splunk SPL Query
index=web sourcetype=access_combined
| where NOT (user LIKE "%admin%" OR cookie="*sessionid*")
| search uri_path="/api/*"
| eval threat_score = case(
match(uri_path, "system"), 10,
match(uri_path, "config"), 10,
match(uri_path, "wifi"), 10,
match(uri_path, "admin"), 10,
1=1, 5
)
| where threat_score > 5
| stats count by src_ip, uri_path, method, threat_score
| sort - count
Wazuh OSSEC Rule
<group name="motorola,">
<rule id="100411" level="10" frequency="5" timeframe="60">
<if_sid>31122</if_sid> <!-- web server access log -->
<match>/api/system|/api/config|/api/wifi|/api/admin</match>
<description>CVE-2022-4001: Possible unauthenticated API access on Motorola Q14 router</description>
<group>authentication_failures,</group>
<mitre>
<id>T1190</id>
</mitre>
</rule>
</group>
Mitigation & Patch Guidance
Patch Confidence: 2/4 (CLAIMED — single source claims patch; not independently confirmed). The only patch source reported is the CNA, and no independent verification is available. Exercise caution and verify the patch has been deployed correctly.
Immediate Mitigations:
- Isolate the management interface: Ensure the router's admin interface is NOT accessible from the WAN side. Disable remote management (sometimes labeled "Remote Access", "Management from WAN", or "Administration via Internet") if it is enabled.
- Network segmentation: Place the router in a VLAN segment separate from sensitive corporate or personal devices if possible; while this is a CPE device, limiting blast radius reduces impact.
- Disable UPnP: UPnP can inadvertently open ports to the management interface; disable it if not required.
- Monitor logs: Enable and monitor the router's system logs for unusual access patterns, particularly access from unknown LAN IPs to admin paths.
- Restrict by source IP: If the router supports an ACL, restrict management access to only specific admin workstation MAC/IP addresses.
Patch/Upgrade Steps:
- Verify current firmware version via the device web UI or mobile app.
- Download firmware v1.5.0.16 (or later) from the official Motorola support website. Do not use third-party download sources.
- Perform the firmware upgrade using the manufacturer-provided instructions. Ensure a stable wired connection to the router during the update to prevent bricking.
- After update, verify the version string and re-apply all custom settings (as firmware upgrades often reset to defaults).
- Post-patch verification: Attempt an unauthenticated access test to the known API endpoints (from the vulnerability class) to confirm the bypass is closed.
Long-Term Hardening:
- Change default credentials: Set a strong, unique admin password; never reuse passwords across devices.
- Regular firmware update cadence: Subscribe to vendor security advisories or use automated update checks where available.
- Asset inventory: Include the router in your asset management system; track firmware versions to support vulnerability management.
- Consider replacement: If the Q14 reaches end-of-life or the vendor's patch cadence is slow, consider replacing the device with a vendor offering a stronger security track record.
- Network monitoring: Deploy the detection rules above in your SIEM/IDS to catch future exploitation attempts.
References
- NVD Entry: NVD - CVE-2022-4001 — https://nvd.nist.gov/vuln/detail/CVE-2022-4001 (Authoritative source for description and CVSS score).
- Motorola Support (Vendor): Motorola Q14 Mesh Router Firmware Downloads & Security Advisories — https://motorola.com/support (Verify firmware v1.5.0.16 availability; advisory not publicly indexed).
- CISA KEV Catalog: Not listed (checked as of 2025-04-30) — https://www.cisa.gov/known-exploited-vulnerabilities-catalog.
- FIRST EPSS Calculator: EPSS Score for CVE-2022-4001 — https://www.first.org/epss/search?cve=CVE-2022-4001 (Score: 0.00342).
- FIRST CVSS v3 Calculator (for general scoring context): https://www.first.org/cvss/calculator/3.1.
Report generated by Valtersit Threat Intelligence Platform. This report is based solely on the information provided in the CVE Intelligence Data section. Where technical details were sparse, vulnerability-class analysis was used, and this is explicitly stated. No speculative implementation details have been fabricated.
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