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QloApps CVE-2026-75497

| EUVDEUVD-2026-65587 HIGH
SQL Injection (CWE-89)
2026-08-25 cisa-cg GHSA-5w6r-2mxc-fq3v
8.6
CVSS 4.0 · Vendor: cisa-cg
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Attack ChainAIDerived

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

  1. Access
    Obtain admin credentials via phishing or reuse
  2. Delivery
    Authenticate to QloApps back-office
  3. Exploit
    Submit crafted SQL payload in bo_query parameter
  4. Execution
    Unsanitized input injected into CustomerMessage SQL query
  5. Impact
    Extract or manipulate database contents

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

Exploitation requires a valid administrative account in the QloApps back-office - the CVSS vector PR:H confirms high-privilege authentication is mandatory. The attacker must have network access to the back-office admin panel (typically a /admin or /bo route). The vulnerable parameter (bo_query) is exposed through the customer message search functionality within the back-office UI. What limits exploitation: (1) administrative credentials must be compromised or held by the attacker; (2) the back-office is typically not exposed to the public internet in hardened deployments; (3) no default QloApps configuration automatically grants external parties admin access. Defenders should note that if admin panels are internet-accessible without IP restriction, the authentication barrier is the sole control preventing exploitation.

Impact

The CVSS 4.0 score of 8.6 with vector AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H accurately characterizes the theoretical impact, but PR:H (high privileges required) is the critical limiting factor for real-world risk. An attacker must already hold administrative credentials to the QloApps back-office before exploiting this flaw, which substantially narrows the realistic threat surface compared to unauthenticated SQL injection. The business impact upon successful exploitation is severe - full database read (hotel guest PII, reservation data, credentials) and write access. However, the requirement for administrative access means this is most relevant in insider-threat, credential-theft, or privilege-chaining scenarios rather than opportunistic mass exploitation. No EPSS score, KEV listing, or public exploit code was provided, and QloApps has a limited deployment footprint relative to mainstream platforms, further reducing aggregate exposure.

Exploit ScenarioDerived

An attacker who has obtained administrative credentials to the QloApps back-office - through phishing, credential stuffing, or lateral movement - navigates to the customer message search interface and submits a crafted SQL fragment via the bo_query parameter (e.g., a UNION-based payload). The unsanitized value is concatenated directly into the SQL LIKE clause in CustomerMessage.php, enabling the attacker to enumerate all database tables, extract hotel guest PII and credentials, or modify reservation records. No public proof-of-concept has been identified, but the injection pattern is straightforward to exploit given the confirmed absence of parameterization.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.4% exploitation probability (EPSS)

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AnalysisAIv1 – Aug 25, 2026

SQL injection in Webkul QloApps exposes the entire database to remote authenticated administrators who can supply unsanitized input to the 'bo_query' parameter in the back-office search interface. The patch diff reveals the flaw extends beyond CustomerMessage.php to Address.php and multiple hotel reservation system modules (HotelBranchRefundRules, HotelRoomTypeFeaturePricing, HotelRoomTypeGlobalDemandAdvanceOption), all of which concatenated user-supplied strings directly into SQL queries without pSQL() sanitization or integer casting. No public exploit code or CISA KEV listing is identified at time of analysis; EPSS data was not provided in the source intelligence.

RemediationAI

Apply the upstream fix introduced in commit 123c97c via GitHub PR #1783 (https://github.com/Qloapps/QloApps/pull/1783/changes/123c97c110b7053ea3297d8e58fe95b3c3536560). Note that a specific tagged release version was not independently confirmed - operators should verify whether Webkul has issued a versioned release incorporating this commit. As a compensating control prior to patching, restrict back-office administrative access to trusted IP ranges at the network or web server layer (e.g., Apache/nginx IP allowlisting or firewall rules) to reduce the attack surface for credential-based exploitation. Additionally, enable database query logging to detect anomalous LIKE patterns or IN() clause manipulation. Note that IP allowlisting does not prevent insider abuse and is not a substitute for the code fix.

Affected VersionsENISA

QloApps 0 <123c97c

Affected Packages

euvd qloapps fix: 123c97c

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

QloApps is a PHP-based hotel reservation and management platform built atop the PrestaShop e-commerce framework (CPE: cpe:2.3:a:webkul:qloapps:*:*:*:*:*:*:*:*). The root cause (CWE-89: SQL Injection) stems from direct string interpolation of request parameters into SQL LIKE clauses and IN() lists without using PrestaShop's built-in pSQL() sanitization helper or PHP's intval() for integer coercion. The fix applies pSQL() to string parameters in CustomerMessage.php and Address.php searchByName() methods, and replaces pSQL(implode(...)) with implode(..., array_map('intval', ...)) for integer array parameters in the hotel reservation module - a correct distinction, since pSQL() is designed for string escaping and not integer list sanitization.

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Severity by source

Vendor (cisa-cg) PRIMARY 8.6 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
vuln.today AI 7.2 HIGH

Network-accessible back-office requires high privileges (admin credentials); no scope change; full CIA impact on database upon successful injection.

3.1 AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (cisa-cg).

CVSS VectorVendor: cisa-cg

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

Lifecycle Timeline

2
CVSS changed
Aug 25, 2026 - 17:22 NVD
7.2 (HIGH) 8.6 (HIGH)
CVE Published
Aug 25, 2026 - 16:37 cve.org
HIGH 8.6

DescriptionCVE.org

Webkul QloApps does not validate request parameters before a database query. A remote, authenticated attacker with administrative privileges could send a crafted SQL query to the 'bo_query' parameter in the 'CustomerMessage.php' file. Fixed in 123c97c.

Executive ViewAI

Why It Matters

Webkul QloApps contains a SQL injection vulnerability affecting authenticated administrators in the back-office search interface that exposes the entire application database to compromise. No public exploit has been identified at time of analysis. Organizations must prioritize patching to prevent data breach and database manipulation by malicious or compromised admin accounts.

Business Impact: High
Compensating Controls

Apply vendor patch. Until patching is complete, restrict back-office administrative interface access by IP address, enforce multi-factor authentication on all admin accounts, implement SQL query logging and monitoring for the bo_query parameter, and minimize administrative privileges to operational requirements only.

Threat Intelligence Overview

EPSS Score
0.4%
Top 64% exploitable
Prevalence
Low
niche hotel management platform, limited enterprise footprint
Data Quality
6 sources
Confidence: High

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 0.4%
Patch available Yes
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
Poc
System Exposure· derived
Open
Automatable
No
Human Impact
High
Technical Impact
Total

Priority Score

43
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +43
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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