CVE-2026-110951: weak password recovery enables

CISO Take

This is a weak password recovery flaw (CWE-640) in Hyper Teknoloji's Hyper E-Commerce Infrastructure, its dealer integration and its storefront/management panel. An attacker can abuse the forgotten-password flow to take over accounts, and the CVSS 7.5 vector (network, high complexity, low privileges, high impact on confidentiality, integrity and availability) reflects the severity of a successful takeover. The AI/ML link is tenuous: the product is a commerce platform, tagged only as an ML UI category, and no AI package is identified. No EPSS score, public exploit, Nuclei template or KEV listing exists, and the CVE was only published on 2026-11-12, so near-term exploitation is unconfirmed. Organizations running these products should upgrade to Hyper E-Commerce Infrastructure 1.1, dealer integration 1.2 and Storefront/management panel 2.1796 or later. They should also review password-reset logs for anomalies, and treat any AI or analytics integrations connected to these panels as part of the exposure.

Sources:NVDATLASsiberguvenlik.gov.tr

What is the risk?

Moderate-to-high for affected e-commerce deployments: network-reachable, no user interaction, low privileges required, and high attack complexity. There is no EPSS data, no public exploit, no scanner template and no KEV listing, so exploitation likelihood is currently unknown. AI/ML-specific risk is low, because no AI/ML component or tracked AI package is named. Exposure to AI systems is indirect, arising only if the commerce platform feeds or administers AI recommendation or analytics services.

How does the attack unfold?

Initial Access

Attacker targets the password recovery function of the exposed storefront, management panel or dealer integration.

AML.T0049

Exploitation

The weak recovery mechanism is abused to reset a victim or privileged account's password.

AML.T0012

Impact

Attacker takes over the account, accessing or modifying customer, dealer and catalog data and any connected integrations.

Initial Access

Attacker targets the password recovery function of the exposed storefront, management panel or dealer integration.

AML.T0049

Exploitation

The weak recovery mechanism is abused to reset a victim or privileged account's password.

AML.T0012

Impact

Attacker takes over the account, accessing or modifying customer, dealer and catalog data and any connected integrations.

How severe is it?

CVSS 3.1

7.5 / 10

EPSS

N/A

Exploitation Status

No known exploitation

Sophistication

Moderate

What is the attack surface?

AVNetwork

ACHigh

PRLow

UINone

SUnchanged

CHigh

IHigh

AHigh

What should I do?

1 step

1) Upgrade Hyper E-Commerce Infrastructure to 1.1 or later, the dealer integration to 1.2 or later, and the Storefront application and management panel to 2.1796 or later. 2) Until patched, restrict access to the management panel and the password-reset endpoints (IP allowlist, VPN or WAF rate limiting). 3) Require MFA on administrator and dealer accounts. 4) Review password-reset and authentication logs for unusual reset requests, token reuse, or resets followed by logins from new locations. 5) Force credential rotation for privileged accounts if suspicious resets are found. 6) Follow the vendor and national CERT advisory (siberguvenlik.gov.tr, TR-26-1531) for further guidance.

How is it classified?

Auth BypassPrivacy ViolationFrameworkAML.T0012- Valid Accounts AML.T0049- Exploit Public-Facing Application

Which compliance frameworks are affected?

This CVE is relevant to:

ISO 42001

A.6.2.6-AI system operation and monitoring

NIST AI RMF

MANAGE 2.3-Responses to identified risks are managed

Frequently Asked Questions

What is CVE-2026-110951?

This is a weak password recovery flaw (CWE-640) in Hyper Teknoloji's Hyper E-Commerce Infrastructure, its dealer integration and its storefront/management panel. An attacker can abuse the forgotten-password flow to take over accounts, and the CVSS 7.5 vector (network, high complexity, low privileges, high impact on confidentiality, integrity and availability) reflects the severity of a successful takeover. The AI/ML link is tenuous: the product is a commerce platform, tagged only as an ML UI category, and no AI package is identified. No EPSS score, public exploit, Nuclei template or KEV listing exists, and the CVE was only published on 2026-11-12, so near-term exploitation is unconfirmed. Organizations running these products should upgrade to Hyper E-Commerce Infrastructure 1.1, dealer integration 1.2 and Storefront/management panel 2.1796 or later. They should also review password-reset logs for anomalies, and treat any AI or analytics integrations connected to these panels as part of the exposure.

Is CVE-2026-110951 actively exploited?

No confirmed active exploitation of CVE-2026-110951 has been reported, but organizations should still patch proactively.

How to fix CVE-2026-110951?

1) Upgrade Hyper E-Commerce Infrastructure to 1.1 or later, the dealer integration to 1.2 or later, and the Storefront application and management panel to 2.1796 or later. 2) Until patched, restrict access to the management panel and the password-reset endpoints (IP allowlist, VPN or WAF rate limiting). 3) Require MFA on administrator and dealer accounts. 4) Review password-reset and authentication logs for unusual reset requests, token reuse, or resets followed by logins from new locations. 5) Force credential rotation for privileged accounts if suspicious resets are found. 6) Follow the vendor and national CERT advisory (siberguvenlik.gov.tr, TR-26-1531) for further guidance.

What systems are affected by CVE-2026-110951?

This vulnerability affects the following AI/ML architecture patterns: E-commerce management panels, Dealer integration portals, Web application authentication flows, AI-driven recommendation or analytics integrations (indirect).

What is the CVSS score for CVE-2026-110951?

CVE-2026-110951 has a CVSS v3.1 base score of 7.5 (HIGH).

What is the AI security impact?

Affected AI Architectures

E-commerce management panelsDealer integration portalsWeb application authentication flowsAI-driven recommendation or analytics integrations (indirect)

MITRE ATLAS Techniques

AML.T0012Valid Accounts

AML.T0049Exploit Public-Facing Application

Compliance Controls Affected

ISO 42001: A.6.2.6

NIST AI RMF: MANAGE 2.3

What are the technical details?

Original Advisory

Weak Password Recovery Mechanism for Forgotten Password vulnerability in Hyper Teknoloji Ltd. Şti. Hyper E-Commerce Infrastructure, Hyper Teknoloji Ltd. Şti. Hyper E-Commerce Infrastructure - dealer integration, and Hyper Teknoloji Ltd. Şti. Hyper E-Commerce Infrastructure - Storefront application and management panel allows Password Recovery Exploitation. This issue affects Hyper E-Commerce Infrastructure: before 1.1; Hyper E-Commerce Infrastructure - dealer integration: before 1.2; Hyper E-Commerce Infrastructure - Storefront application and management panel: before 2.1796.

Exploitation Scenario

An attacker identifies a vulnerable storefront or dealer management panel and abuses the forgotten-password flow, for example by guessing or predicting recovery tokens or bypassing recovery verification. They reset a privileged or dealer account's password and log in. From there they could extract customer data, alter product or pricing data, or reach connected integrations. If the platform feeds AI-driven recommendation or analytics services, the attacker could also tamper with the data those services consume.

Weaknesses (CWE)

CWE-640Weak Password Recovery Mechanism for Forgotten PasswordPrimary CWE-640Weak Password Recovery Mechanism for Forgotten Password

CWE-640 — Weak Password Recovery Mechanism for Forgotten Password: The product contains a mechanism for users to recover or change their passwords without knowing the original password, but the mechanism is weak.

[Architecture and Design] Make sure that all input supplied by the user to the password recovery mechanism is thoroughly filtered and validated.
[Architecture and Design] Do not use standard weak security questions and use several security questions.

Source: MITRE CWE corpus.