Cyber Resilience

CVE-2026-1159

MediumPublic PoC

Published: 19 January 2026

Published
19 January 2026
Modified
06 February 2026
KEV Added
Patch
CVSS Score v4 6.9 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0034 25.2th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2026-1159 is a medium-severity Injection (CWE-74) vulnerability in Adonesevangelista Online Frozen Foods Ordering System. Its CVSS base score is 6.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 25.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and AC-4 (Information Flow Enforcement).

Deeper analysis

CVE-2026-1159 is a SQL injection vulnerability in the itsourcecode Online Frozen Foods Ordering System version 1.0. The flaw resides in the processing of the /order_online.php file, where manipulation of the product_name argument enables SQL injection. Published on 2026-01-19, it carries a CVSS v3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L) and is associated with CWE-74 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-89 (SQL Injection).

The vulnerability is remotely exploitable by unauthenticated attackers with network access and low complexity requirements. Successful exploitation allows limited impacts including low confidentiality, integrity, and availability violations, such as unauthorized data access, modification, or disruption within the application's database.

Advisories from VulDB (ctiid.341753, id.341753, submit.736332) and a GitHub issue (YouSeeYouOneDayDayDe/Nick_1321_vuls/issues/1) document the issue, with the vendor site at itsourcecode.com listed as a reference; no specific patches or mitigations are detailed in the available information.

A public exploit is available, increasing the risk of real-world attacks against exposed instances of this ordering system.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability details

A weakness has been identified in itsourcecode Online Frozen Foods Ordering System 1.0. This issue affects some unknown processing of the file /order_online.php. Executing a manipulation of the argument product_name can lead to sql injection. The attack can be launched…

more

remotely. The exploit has been made available to the public and could be used for attacks.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Why these techniques?

Direct remote SQL injection in a public-facing web application (/order_online.php) enables unauthenticated exploitation of the exposed service.

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2026-4470Same product: Adonesevangelista Online Frozen Foods Ordering System
CVE-2026-4471Same product: Adonesevangelista Online Frozen Foods Ordering System
CVE-2026-4472Same product: Adonesevangelista Online Frozen Foods Ordering System
CVE-2026-4469Same product: Adonesevangelista Online Frozen Foods Ordering System
CVE-2025-7193Same vendor: Adonesevangelista
CVE-2026-2865Same vendor: Adonesevangelista
CVE-2026-2116Shared CWE-74, CWE-89
CVE-2025-15436Shared CWE-74, CWE-89
CVE-2026-6148Shared CWE-74, CWE-89
CVE-2026-3792Shared CWE-74, CWE-89

Affected Assets

adonesevangelista
online frozen foods ordering system
1.0

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation of all inputs (including product_name) to reject malformed or special-character content that enables SQL injection.

prevent

Enforces information-flow rules that can block unauthorized or malformed database queries originating from untrusted web inputs.

detect

Enables monitoring and analysis of application traffic to identify anomalous SQL syntax or injection patterns targeting order_online.php.

References