QloApps up to 1.7.0 OrderConfirmationController init id_cart information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 1.00- |
Summary
A vulnerability classified as problematic has been found in QloApps up to 1.7.0. Impacted is the function OrderConfirmationController::init of the component OrderConfirmationController. Performing a manipulation of the argument id_cart results in information disclosure.
This vulnerability is known as CVE-2026-116745. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability classified as problematic has been found in QloApps up to 1.7.0. This affects the function OrderConfirmationController::init of the component OrderConfirmationController. The manipulation of the argument id_cart with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:
QloApps through 1.7.0 contains an information disclosure vulnerability in OrderConfirmationController::init() that allows unauthenticated attackers to obtain guest order references and emails by supplying guest id_cart values. Attackers can iterate sequential id_cart values, read the Location redirect header, view booking details via guest-tracking, and convert guests into accounts with attacker-chosen passwords.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-116745 since 10/26/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/26/2026). The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
Website
- Product: https://github.com/Qloapps/QloApps/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/26/2026 Advisory disclosed10/26/2026 CVE reserved
10/26/2026 VulDB entry created
10/26/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-116745 (🔒)
GCVE (CVE): GCVE-0-2026-116745
GCVE (VulDB): GCVE-100-426915
Entry
Created: 10/26/2026 23:19Changes: 10/26/2026 23:19 (75)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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