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Pandora Fms EUVDEUVD-2026-21996

| CVE-2026-30813 HIGH
SQL Injection (CWE-89)
2026-04-13 PandoraFMS GHSA-chf8-3p4x-rchj
8.7
CVSS 4.0 · NVD
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Attack ChainAIDerived

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

  1. Recon
    Obtain low-privilege credentials
  2. Delivery
    Access module search interface
  3. Exploit
    Inject SQL payload in search parameter
  4. Install
    Database executes malicious query
  5. C2
    Extract sensitive data or modify configurations
  6. Execute
    Suppress monitoring alerts
  7. Impact
    Maintain persistent access

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Persistence

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Requires authenticated user account on Pandora FMS versions 777-800. Attacker must have login credentials to access the module search functionality where SQL injection payload is injected. Remote network access required; no victim interaction needed.

Impact

Real-world risk assessment reveals moderate-to-high concern despite the 8.7 CVSS score. The CVSS 4.0 vector indicates network-based exploitation (AV:N) with low attack complexity (AC:L), but requires low-level authentication (PR:L), which reduces immediate risk compared to unauthenticated vulnerabilities. No EPSS score provided, no CISA KEV listing confirms active exploitation, and no public exploit code (POC) availability reported at time of analysis, suggesting this remains a disclosed but not yet weaponized vulnerability. The high confidentiality (VC:H) and integrity (VI:H) impact scores indicate serious consequences upon successful exploitation-attackers could extract sensitive monitoring data, credentials stored in the database, or manipulate monitoring configurations to hide malicious activity. The limited scope impact (S:N with SC:L/SI:L/SA:L) suggests damage may extend slightly beyond the vulnerable component but remains contained. SSVC decision framework considerations: exploitation status is public (vendor disclosed), automatable (SQL injection attacks are readily scriptable once entry point is identified), and technical impact is significant (database compromise). Priority depends on exposure-internet-facing Pandora FMS instances with weak authentication controls warrant immediate patching, while internally segmented deployments face lower urgency. The 777-800 version range represents a significant installation base requiring remediation.

Exploit ScenarioDerived

An authenticated attacker with low-level Pandora FMS credentials accesses the module search interface and injects SQL metacharacters into search parameters, such as crafting a search query containing UNION SELECT statements or Boolean-based blind SQL injection payloads. The application processes this malicious input without proper sanitization, executing the attacker's SQL commands against the backend database. The attacker extracts sensitive monitoring data, administrative credentials, or network topology information, then modifies alert thresholds to suppress detection of ongoing malicious activity within the monitored infrastructure. Publicly available exploit code not confirmed, but SQL injection exploitation techniques are well-documented and readily adapted by attackers.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Apr 13, 2026

SQL injection in Pandora FMS module search functionality allows authenticated attackers to extract, modify, or delete database contents across versions 777 through 800. Attackers with low-level privileges can execute arbitrary SQL commands through improperly sanitized search parameters, leading to high confidentiality and integrity impact. No confirmed active exploitation (CISA KEV) at time of analysis, though the straightforward attack vector (network-accessible, low complexity, authenticated) and limited scope suggest moderate real-world risk for exposed instances.

RemediationAI

Organizations should upgrade Pandora FMS to a patched version beyond the vulnerable 777-800 range. While the vendor advisory at https://pandorafms.com/en/security/common-vulnerabilities-and-exposures/ acknowledges the issue, the exact fixed version number is not independently confirmed from available data-consult the vendor portal directly for the latest patched release. As an interim mitigation, restrict network access to the Pandora FMS interface using firewall rules or VPN requirements, enforce strong authentication policies to limit the pool of potential low-privilege attackers, implement database activity monitoring to detect SQL injection attempts, and review user permission models to ensure least-privilege access to module search functionality. Apply web application firewall (WAF) rules targeting SQL injection patterns as a temporary control layer, though this is not a substitute for patching. Verify the integrity of existing database contents if unauthorized access is suspected, as attackers may have modified monitoring configurations or extracted credentials.

Affected VersionsENISA

Pandora FMS 777 ≤800

Affected Packages

euvd pandora_fms no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

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

Technical ContextAI · show details

This vulnerability stems from CWE-89 (SQL Injection), where user-supplied input in Pandora FMS's module search feature is not properly sanitized before inclusion in SQL queries. Pandora FMS is a network and infrastructure monitoring platform that relies on database operations for managing monitored modules, agents, and alerts. The affected component fails to neutralize special SQL characters or employ parameterized queries, allowing authenticated users to inject malicious SQL syntax. The CPE string (cpe:2.3:a:pandora_fms:pandora_fms:*:*:*:*:*:*:*:*) indicates broad impact across all deployment types of the product. The CVSS vector shows network attack vector (AV:N) with low complexity (AC:L), requiring only low-level privileges (PR:L) and no user interaction (UI:N), making exploitation straightforward for authenticated attackers. The vulnerability affects both confidentiality and integrity of the vulnerable system (VC:H/VI:H) with limited scope impact (SC:L/SI:L/SA:L), suggesting potential for lateral data access beyond the immediate application database.

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Severity by source

NVD PRIMARY 8.7 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:L/SI:L/SA:L/S:N/AU:Y/R:U/V:C/RE:L/U:Amber

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
Vulnerable system: Confidentiality
High
Vulnerable system: Integrity
High
Vulnerable system: Availability
Low
Subsequent system: Confidentiality
Low
Subsequent system: Integrity
Low
Subsequent system: Availability
Low

Lifecycle Timeline

2
CVSS changed
Apr 13, 2026 - 16:22 NVD
8.7 (HIGH)
CVE Published
Apr 13, 2026 - 15:49 nvd
HIGH 8.7

DescriptionCVE.org

Improper Neutralization of Special Elements used in an SQL Command vulnerability allows SQL Injection via module search. This issue affects Pandora FMS: from 777 through 800

Executive ViewAI

Why It Matters

Pandora FMS versions 777-800 contain a SQL injection vulnerability in the module search function that allows authenticated users with low-level privileges to read, modify, or delete database contents, creating direct risk to data confidentiality and integrity. Organizations running affected Pandora FMS instances should prioritize immediate containment, as the vulnerability requires only standard user credentials and network access to exploit, with no vendor patch currently available.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations: (1) Restrict network access to Pandora FMS to trusted administrative networks only; (2) revoke or downgrade module search privileges for non-administrative user accounts; (3) implement database monitoring and alerting on suspicious SQL query patterns; (4) enable comprehensive database audit logging of all queries originating from Pandora FMS; (5) deploy WAF rules targeting SQL injection signatures in HTTP request parameters.

Threat Intelligence Overview

EPSS Score
0.0%
Top 92% exploitable
Social Media
1
Sightings
Data Quality
5 sources
Confidence: Medium

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 0.0%
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
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
No
Human Impact
High
Technical Impact
Total

Priority Score

44
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +44
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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