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Django CVE-2026-2250

HIGH
Insertion of Sensitive Information Into Debugging Code (CWE-215)
2026-02-11 56a186b1-7f5e-4314-ba38-38d5499fccfd
7.5
CVSS 3.1 · NVD
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Send HTTP request to /dbviewer/ endpoint
  2. Delivery
    Access unauthenticated SQLite database
  3. Exploit
    Export sensitive telemetry data
  4. Execution
    Send malformed request
  5. Impact
    Receive Django traceback disclosure

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A10:2025 - Mishandling of Exceptional Conditions
ASVS 5.0
V16 - Security Logging and Error Handling Debug information protection
Exploitation Conditions

No special conditions — remote unauthenticated access to METIS WIC devices with /dbviewer/ endpoint exposed and debug mode enabled on default configurations.

Impact

CVSS 7.5 (HIGH). Attack vector: Network. Complexity: Low. Privileges required: None. User interaction: None. Exploitation no authentication required. Exploitable via remote/network.

Exploit ScenarioDerived

A remote attacker without authentication could exploit this vulnerability to compromise the affected system.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.1% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 12, 2026

METIS WIC devices expose an unauthenticated /dbviewer/ endpoint that permits remote attackers to directly access and export internal SQLite databases containing sensitive operational telemetry. The affected Golang and Django applications run with debug mode enabled, causing error responses to leak backend source code, local file paths, and system configuration details. No patch is currently available.

Earlier versions of this analysis (1)
v1 Mar 12, 2026 - 22:02 CVSS 7.5

The /dbviewer/ web endpoint in METIS WIC devices is exposed without authentication. A remote attacker can access and export the internal telemetry SQLite database containing sensitive operational data. [CVSS 7.5 HIGH]

RemediationAI

Monitor vendor advisories for a patch. Restrict network access to the affected service where possible.

Affected ProductsAI

The /dbviewer/ web endpoint in METIS WIC devices is exposed without authentication

Affects your stack

Find out whether the stacks and servers you run are on an affected version.

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The /dbviewer/ web endpoint in METIS WIC devices is exposed without authentication. A remote attacker can access and export the internal telemetry SQLite database containing sensitive operational data. Additionally, the application is configured with debug mode enabled, causing malformed requests to return verbose Django tracebacks that disclose backend source code, local file paths, and system configuration.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

NVD PRIMARY 7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

DescriptionCVE.org

The /dbviewer/ web endpoint in METIS WIC devices is exposed without authentication. A remote attacker can access and export the internal telemetry SQLite database containing sensitive operational data. Additionally, the application is configured with debug mode enabled, causing malformed requests to return verbose Django tracebacks that disclose backend source code, local file paths, and system configuration.

Executive ViewAI

Why It Matters

METIS WIC devices contain an unauthenticated web endpoint that exposes internal operational telemetry databases to remote attackers. Any threat actor with network access can extract sensitive operational data without credentials, creating immediate risk to data confidentiality and potential operational intelligence loss.

Business Impact: High
Compensating Controls

Deploy WAF rules to block access to /dbviewer/ endpoint; restrict network access via firewall ACLs to authorized personnel and networks only; isolate METIS WIC devices on a segmented network; disable the /dbviewer/ endpoint if operationally feasible; implement network monitoring to detect unauthorized access attempts; require VPN access for any legitimate /dbviewer/ usage; monitor database export activity and review recent access logs for compromise.

Threat Intelligence Overview

EPSS Score
0.1%
Top 72% exploitable
Data Quality
3 sources
Confidence: Low

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.1%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
Yes
Human Impact
High

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +38
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.

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