Comparison Overview
Macula AI - AI Based Visual Inspection

Macula AI - AI Based Visual Inspection
3575 Boul St-Laurent, Montreal, H2X 2T6, CA
Last Update: 09/01/2026
MACULA AI is an end-to-end solution that uses state of the art Artificial intelligence to automatically detect and identify defects on products from manufacturing lines. MACULA AI goes beyond traditional visual inspection methods to adapt to the growth of today's manufa...

PT Astra International Tbk
Jl. Jenderal Sudirman, Kav-5-6, Central Jakarta, 10220, ID
Last Update: 02/04/2026
Astra was established in 1957 as a trading company. Over the course of its development, Astra has formed a number of strategic alliances with leading global players. Since 1990, the Company has been listed on the Indonesia Stock Exchange. Astra currently engages ...
Compliance Ranges Comparison

Macula AI - AI Based Visual Inspection







PT Astra International Tbk






Benchmark & Cyber Underwriting Signals
Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Macula AI - AI Based Visual Inspection in 2026.
Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for PT Astra International Tbk in 2026.
Incident History - Macula AI - AI Based Visual Inspection (X = Date, Y = Severity)
Macula AI - AI Based Visual Inspection cyber incidents detection timeline including parent company and subsidiaries.
Incident History - PT Astra International Tbk (X = Date, Y = Severity)
PT Astra International Tbk cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Macula AI - AI Based Visual Inspection

PT Astra International Tbk
FAQ
Latest Global CVEs
A security vulnerability has been detected in adafap api-mcp up to 92b9a5d04acfec165c7d4ef852496593aa87be06. This affects the function customAxios of the file app/api/proxy/route.ts of the component Proxy API Endpoint. The manipulation of the argument url leads to server-side request forgery. The attack is possible to be carried out remotely. This product adopts a rolling release strategy to maintain continuous delivery. Therefore, version details for affected or updated releases cannot be specified. The project was informed of the problem early through an issue report but has not responded yet.
A weakness has been identified in PhialsBasement KoboldCPP-MCP-Server 1.0.0. Affected by this issue is the function makeRequest of the file src/index.ts of the component BaseConfigSchema. Executing a manipulation of the argument apiUrl can lead to server-side request forgery. It is possible to launch the attack on the local host. The project was informed of the problem early through an issue report but has not responded yet.
A security flaw has been discovered in Handwriting-OCR handwriting-ocr-mcp-server 0.1.0. Affected by this vulnerability is the function fs.readFileSync of the file src/index.ts of the component upload_document. Performing a manipulation of the argument File results in path traversal. Attacking locally is a requirement. The project was informed of the problem early through an issue report but has not responded yet.
A vulnerability was identified in Nikolaibibo claude-comfyui-mcp 1.0.0. Affected is the function copyFileSync of the file src/tools/utils.ts of the component comfy_upload_image. Such manipulation of the argument image_path leads to path traversal. An attack has to be approached locally. The project was informed of the problem early through an issue report but has not responded yet.
A Server-Side Request Forgery (SSRF) vulnerability exists in nltk/nltk versions 3.9.4 and the current develop branch. The `nltk.pathsec.validate_network_url()` function, intended to prevent SSRF by rejecting internal network addresses, fails to reject IPs in the RFC 6598 shared address space (`100.64.0.0/10`). This occurs because Python's `ipaddress` module does not classify such addresses as `is_private` or `is_global`, and the current guard only checks `is_private` and a few explicit categories. An attacker who can influence a URL passed to NLTK's network-loading helpers can exploit this vulnerability to make a strict-mode application send requests to shared-address-space hosts, potentially exposing non-public infrastructure reachable from the application host. The impact is limited to SSRF-style confidentiality exposure, with no code execution claimed.