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CVSS: 5.1 🐛 CWE-200
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-15567

CVE-2025-15567 Information Disclosure in Vivo
📅 PUBLISHED: 2026-02-27 00:00 UTC 🔄 UPDATED: 2026-08-21 19:31 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: Public
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.13%
👁️
0.13% probability
3.4× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1552
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
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
5.1
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-15567 describes insufficient protection mechanisms in an undisclosed vendor's "Health Module," which may allow a remote attacker to disclose partial sensitive information — likely system status data, configuration details, or diagnostic information normally restricted to authenticated users. The exact affected product and version range are not publicly identified as of this writing, limiting the known blast radius but also hindering proactive detection. With no CVSS score, no CWE assigned in initial reporting, and no confirmed exploit chain publicized, organizations should treat this as a low-to-medium severity information disclosure risk, prioritize inventory discovery, and await vendor advisory for patch verification.

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›Exploit & PoC — poc_status, poc_url, has_exploit. Not in NVD.
›Shodan dorks — ready-made queries to find exposed vulnerable systems
›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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Technical Analysis

The vulnerability resides within a "Health Module" — a common architectural component in web applications, network appliances, or enterprise SaaS platforms that exposes operational status endpoints (e.g., /health, /status, /metrics, /actuator/health). The CVE description states "Insufficient protection mechanisms," implying that the module's endpoint(s) either:

  • Lack authentication/authorization checks (e.g., missing role-based access control on health REST APIs or admin panels).
  • Expose verbose error messages or stack traces to unauthenticated clients.
  • Enumerate internal system paths, software versions, dependency names, or environment variables through a weakly protected diagnostic interface.

Attack Surface: The Health Module is reachable via the application's main HTTP(s) port(s) (typically 80/443 or a management port like 8080/8443). Because health check endpoints are often intentionally excluded from WAF rules or authentication proxies to allow load balancers and orchestrators to poll them, they become a prime target for enumeration.

Mechanism: An attacker sends a crafted HTTP request — either a direct GET to the health endpoint or a request with manipulated headers (e.g., X-Forwarded-For, Accept: application/json) — that bypasses an incomplete access control layer. The module responds with diagnostic data that may include:

  • Database connection strings (partial).
  • Internal IP addresses or hostnames.
  • Installed software versions.
  • Active user session counts.
  • Filesystem paths.

Code-Level Context (hypothetical but representative):

# Vulnerable pattern
@app.route('/health')
def health():
    # Missing @login_required or role check
    db_status = check_db_connection()
    return jsonify({
        'db': db_status,
        'config': get_all_config(),   # Exposes secrets
        'users_online': len(active_sessions)
    })

The flaw is likely a missing @require_auth decorator, a misconfigured security filter, or an exception handler that returns 500 errors with full stack traces instead of generic messages.


Exploitation Scenarios

Threat Actor Profile: Opportunistic attacker, script kiddie, or low-skill initial access broker scanning for exposed diagnostic endpoints across IP ranges.

Step 1 — Reconnaissance: Attacker conducts broad internet scanning using Shodan or masscan with queries like http.title:"Health" or http.component:"Health Module". They filter responses for applications returning HTTP 200 with JSON bodies containing keys like "status", "db", "uptime", or "version".

Step 2 — Endpoint Discovery: Once a candidate target is identified, the attacker enumerates common health-related paths:

  • GET /health
  • GET /healthcheck
  • GET /api/v1/health
  • GET /admin/status
  • GET /actuator/health

Step 3 — Trigger/Weaponization: The attacker sends a direct unauthenticated GET request to the discovered endpoint. To maximize data leak, they may include headers to force a verbose response:

GET /health HTTP/1.1
Host: target.example.com
Accept: application/json
X-Forwarded-For: 127.0.0.1

Because the Health Module lacks sufficient protection (the vulnerability), the server responds with full diagnostic output instead of a 403 Forbidden or 401 Unauthorized.

Step 4 — Payload/Execution: The response body leaks partial configuration data. For example:

{
  "status": "healthy",
  "database": {"host": "192.168.1.10", "port": 3306, "user": "app_user"},
  "app_version": "2.4.1-beta",
  "environment": "production",
  "log_level": "DEBUG"
}

The attacker captures this data. Even if partial, the internal IP and username are enough to pivot.

Step 5 — Post-Exploitation: The attacker leverages the leaked internal IP to plan lateral movement attempts (e.g., SSH brute force to 192.168.1.10 using app_user). The version string helps them search for additional known CVEs affecting that app version. The log_level: DEBUG hints that verbose logging is enabled, which they may use to trigger errors and capture more stack traces.


Impact Assessment

Business Impact:

  • Confidentiality: Partial loss. Exposure of internal IPs, version details, and database credentials (even partial) undermines the confidentiality of the infrastructure layer. This information is a stepping stone for more severe attacks (lateral movement, targeted exploitation of version-specific flaws).
  • Integrity: None directly, but leaked session counts or debug flags could be used to time attacks or trigger resource exhaustion.
  • Availability: Unlikely to be directly impacted; however, if the health endpoint reveals that the DB is down or misconfigured, an attacker could coordinate a DoS on a known weak dependency.

Affected Systems: Any application or device integrating the specific unnamed vendor's Health Module. This includes web applications, network devices with web management interfaces, and possibly containerized microservices.

Blast Radius:

  • Zero-day impact: Low (no known exploit, no CVSS score).
  • Proliferation risk: Medium — health endpoints are ubiquitous, but the specific module is not yet identified, so the actual exposed population is unknown.
  • Downstream impact: If the leaked partial data includes cloud provider keys or service accounts, the blast radius expands to the entire cloud environment.

CVSS Interpretation: With no official vector, a conservative estimate (assuming network attack vector, low complexity, no privileges, partial confidentiality impact) yields an approximate CVSS v3.1 score of 5.3 (Medium). This aligns with the "partial information disclosure" characterization.


Detection Guidance

Sigma Rule

title: CVE-2025-15567 - Unauthenticated Health Module Access Attempt
id: 03a6f4e1-7c2d-4a9f-b8e0-2c9d5e4f1a34
status: experimental
description: Detects HTTP requests to health/status endpoints that lack authentication headers, potentially exploiting insufficient protection in Health Modules.
logsource:
    category: webserver
    product: generic
detection:
    selection_path:
        cs-uri-path|contains|all:
            - '/health'
            - '/healthcheck'
            - '/status'
            - '/actuator'
    selection_response:
        sc-status: 200
    filter_normal:
        cs-uri-query|contains: 'auth='
    condition: selection_path and selection_response and not filter_normal
level: medium
falsepositives:
    - Legitimate load balancer health checks (source IPs may need allowlisting)
    - Internal monitoring tools with no auth (should be isolated)
fields:
    - src_ip
    - cs-uri-path
    - sc-status
    - user-agent

YARA Rule

rule CVE_2025_15567_Health_Module_Disclosure {
    meta:
        author = "Valters IT Security"
        description = "Detects HTTP responses or logs containing diagnostic payloads from vulnerable Health Modules"
        date = "2025-04-10"
        cve = "CVE-2025-15567"
    strings:
        $a = "health" nocase
        $b = "status" nocase
        $c = "db_host" nocase
        $d = "app_version" nocase
        $e = "\"healthy\"" nocase
        $f = "log_level" nocase
        $g = "debug" nocase
    condition:
        (any of ($a, $b)) and
        (any of ($c, $d, $e, $f, $g)) and
        #size < 50KB
}

Suricata IDS Rule

alert http any any -> any any (msg:"CVE-2025-15567 Potential Health Module Info Disclosure"; flow:to_server,established; content:"GET"; http_method; content:"/health"; http_uri; nocase; or  content:"/healthcheck"; http_uri; nocase; or  content:"/status"; http_uri; nocase; or  content:"/actuator"; http_uri; nocase; sid:202515567; rev:1; metadata:attack_target_server, deployment_perimeter, cve_2025_15567, signature_severity_Major;)

Elastic Detection

sequence by src_ip with maxspan=5m
  [ network where event.action == "connection" and protocol == "http" ]
  [ http where request.method == "GET" and (
      request.path like "*health*" or
      request.path like "*status*" or
      request.path like "*actuator*") and
      not endsWith(user_agent.name, "monitor") ]

Splunk SPL Query

index=weblogic sourcetype=access_combined 
| where like(uri_path, "%health%") OR like(uri_path, "%actuator%") OR like(uri_path, "%status%")
| where status=200 
| eval auth_present = if(isnull(http_auth_header) OR http_auth_header="", "none", "present")
| where auth_present="none"
| stats count by clientip, uri_path, status
| where count > 3

Wazuh OSSEC Rule

<group name="cve-2025-15567,">
  <rule id="100567" level="7">
    <decoded_as>json</decoded_as>
    <field name="url">\.(health|healthcheck|status|actuator)</field>
    <field name="http.response.code">200</field>
    <field name="http.request.headers.authorization">^(?!.*Basic).*$</field>
    <description>CVE-2025-15567: Unauthenticated health endpoint access and information disclosure attempt</description>
    <mitre>
      <id>T1552</id>
    </mitre>
    <options>no_full_log</options>
    <group>pci_dss_6.5,</group>
  </rule>
</group>

Note: All detection rules are heuristic and should be tuned against baseline monitoring traffic (e.g., load balancer IPs, orchestration probes).


Mitigation & Patch Guidance

Patch confidence: 2/4 — CLAIMED — single source claims patch (not independently confirmed).

Immediate Mitigations (until patch is verified):

  1. Inventory Discovery: Immediately audit all web-facing applications and management interfaces for any "Health Module" component. Use Shodan dorks provided above to identify external exposure of your own IP ranges.
  2. Access Control Override: Place a reverse proxy (NGINX, HAProxy, or cloud WAF) in front of any health/status endpoint. Configure it to require either:
    • A custom header (e.g., X-Monitor-Token: <random>), failing requests without this header.
    • IP allowlisting for internal monitoring systems only.
  3. Obscure Endpoints: Change the default health check URI paths (e.g., from /health to /internal-probe-9a8f7e) if the application permits configuration, to reduce opportunistic scanning success.
  4. Response Sanitization: If the module is middleware, implement an output filter that strips db_host, user, version, and environment fields from any health response before it leaves the server.

Patch/Upgrade Steps:

  1. Monitor the vendor's security advisory page (NVD link in References) for the official fix.
  2. Once the patched version is confirmed, upgrade the affected application or library using the vendor's standard update mechanism.
  3. Review OSV/Package manifests — if the Health Module is a third-party library, check pip/gem/npm/composer lock files (as applicable to the language) for the vulnerable version and update it. Do not use the wrong package manager for the language.

Long-Term Hardening:

  1. Network Segmentation: Ensure diagnostic endpoints are not routable from the public internet. Place them behind a management VLAN or a separate administrative interface.
  2. Authentication Standardization: Enforce OAuth2 or mTLS for all non-essential HTTP endpoints, including health checks.
  3. Logging & Alerting: Enable logging on all access to health endpoints and wire the detection rules above into your SIEM/SOAR for automated blocking.
  4. CVE Monitoring: Subscribe to NVD feeds for CVE-2025-15567 to automatically receive the vendor fix and EPSS score once published.

References

  1. NVD Entry for CVE-2025-15567 — (pending vendor attribution, check periodically for updates): https://nvd.nist.gov/vuln/detail/CVE-2025-15567
  2. MITRE ATT&CK Tactic Reference: https://attack.mitre.org/techniques/T1552/
  3. CISA Known Exploited Vulnerabilities Catalog (CVE-2025-15567 listed as: NO — not in KEV): https://www.cisa.gov/known-exploited-vulnerabilities-catalog
  4. FIRST EPSS (not yet scored): https://www.first.org/epss/
  5. OWASP Guide on improper access control: https://owasp.org/www-project-top-ten/2017/A5_2017-Broken_Access_Control

Threat Actor Campaigns / Exploit-in-the-Wild Evidence: As of the writing of this report, there are no publicly documented threat actor campaigns exploiting this specific CVE, no Metasploit modules, and no public PoC. The vulnerability class (unauthenticated health check info disclosure) is frequently leveraged by botnets for mass IP scanning for other vulnerabilities; however, no such campaign has been attributed to CVE-2025-15567 specifically.

👁️ 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.component:"Health Module"
http.title:"Health" "status"
"health module" "disclosure" "login"

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◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-15567/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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