courses.usml.edu

🤖 AI Summary

After conducting a thorough safety and legitimacy analysis, courses.usml.edu receives a trust score of 67/100, which places it in the "Likely Safe" category. This score is calculated by evaluating multiple factors including SSL certificate validity, domain registration history, email authentication protocols, security header configuration, and blacklist status across major threat intelligence databases. The analysis identified several positive trust signals: a valid HTTPS connection protecting data in transit and HSTS (HTTP Strict Transport Security) enforcement preventing protocol downgrade attacks. Areas of concern include: the domain's WHOIS information is hidden behind a privacy service, making it harder to verify the owner's identity and DNSSEC is not enabled, leaving DNS queries vulnerable to spoofing attacks. While these issues don't necessarily indicate malicious intent, they represent areas where the website's security posture could be improved. We checked courses.usml.edu against 8 major blacklist databases including Google Safe Browsing, Phishtank, Urlhaus, Openphish, Dnsfilter, Spamhaus Dbl, Surbl, and Virustotal. The domain passed all 8 checks with a clean status, meaning it has not been flagged for phishing, malware distribution, spam, or other malicious activities by any of the tested threat intelligence providers.

🤖 AI Summary

Our technology detection engine scanned courses.usml.edu and identified 9 distinct technologies across 9 categories. This analysis is performed by examining HTTP response headers, HTML source code patterns, JavaScript library fingerprints, CSS framework signatures, and DNS records. CMS: WordPress — manages the content and page structure for courses.usml.edu. UI Library: React — handles the user interface rendering and component management for courses.usml.edu. Build Tool: Vite — bundles and optimizes the JavaScript and CSS assets for courses.usml.edu. Tag Manager: Google Tag Manager — manages marketing and analytics tags without code changes for courses.usml.edu. Security: reCAPTCHA v3 — provides security features like bot detection and CAPTCHA for courses.usml.edu. CDN: StackPath — accelerates content delivery by caching assets at edge locations worldwide for courses.usml.edu. Fonts: Adobe Fonts — delivers web fonts for typography for courses.usml.edu. JavaScript Library: jQuery — provides utility functions and DOM manipulation for courses.usml.edu. Icon Set: Font Awesome — provides additional functionality for courses.usml.edu. We also extracted the following tracking identifiers: Google Tag Manager container GTM-MW8CBZB. These IDs can be used to identify other websites operated by the same organization.

🤖 AI Summary

courses.usml.edu delivers its homepage in 26246ms (server response time), which is considered slow by industry standards. The total page weight is 534 KB, and we detected 321 resource requests loading assets from 16 third-party domains. A high number of third-party domains can significantly impact page load time due to additional DNS lookups and TLS handshakes required for each domain. The website uses Gzip compression for text-based assets, achieving an estimated 60.0% reduction in transfer size. This reduces bandwidth usage and improves page load times, especially for visitors on slower connections. Asset minification status: 14 out of 27 CSS files and 42 out of 47 JavaScript files are minified. Minifying the remaining 18 unminified file(s) could further reduce page weight by 10-30% for those assets. Minification is a best practice that reduces download sizes without affecting functionality. The site is served through a Content Delivery Network (CDN), which caches static assets at edge servers around the world. This means visitors from different geographic regions receive content from the nearest edge server, significantly reducing latency. CDN usage is particularly important for websites with a global audience, as it can reduce page load times by 40-60% for distant visitors. From an environmental perspective, each page view of courses.usml.edu produces approximately 0.26g of CO₂, earning a carbon rating of C. This is an average carbon footprint. Optimizing images and reducing unnecessary scripts could further improve this score. For reference, the average web page produces about 0.5g of CO₂ per page view. The page weight of 534 KB is the primary factor in this calculation. Core Web Vitals data from the Chrome User Experience Report (CrUX) is not available for courses.usml.edu. This typically means the site doesn't have enough real-world Chrome user traffic to generate statistically significant field data, or the domain is not included in the CrUX dataset. Core Web Vitals (LCP, INP, CLS) are important Google ranking factors that measure real user experience.

🤖 AI Summary

courses.usml.edu resolves to the IPv4 address 141.193.213.11, but does not support IPv6. IPv6 adoption is increasingly important as IPv4 address space becomes exhausted, and some ISPs and regions are transitioning to IPv6-only connectivity. The domain has 2 A record(s) configured. SPF is not configured, meaning any server could potentially send emails pretending to be from this domain. This is a significant email security concern. DMARC is not configured, leaving the domain vulnerable to email spoofing and phishing attacks that impersonate this domain. DKIM was not detected. Without DKIM, recipients cannot cryptographically verify that emails claiming to be from this domain are authentic. DNSSEC is not enabled for courses.usml.edu. While not critical for most websites, DNSSEC adds an important security layer by ensuring DNS responses haven't been tampered with during transit. Enabling DNSSEC is recommended for domains handling sensitive data or financial transactions.

🤖 AI Summary

The homepage of courses.usml.edu contains 2,299 words of visible text content. This is a substantial amount of content that provides good opportunities for search engine indexing. The page is structured with 0 H2 headings, 11 H3 headings, 50 H4 headings, 46 H5, and 0 H6 headings. The page includes 52 images. 50 images (96%) are missing alt text attributes, which is a significant concern for both accessibility and SEO. Screen readers rely on alt text to describe images to visually impaired users, and search engines use alt text to understand image content. Only 4% of images have proper alt text — we recommend adding descriptive alt attributes to all images. The link structure consists of 106 internal links pointing to other pages on the same domain and 65 external links pointing to third-party websites. The high number of internal links suggests a well-interconnected site structure, which helps search engines discover and crawl all pages efficiently. There are 47 external JavaScript files, 27 CSS stylesheets, and 1 iframes on the page. The site implements the following web standards and features: robots.txt (controls search engine crawling behavior), Schema.org structured data (BreadcrumbList, EntryPoint, ImageObject, ListItem, Organization, PropertyValueSpecification, ReadAction, SearchAction, WebPage, and WebSite), and RSS feed for content syndication. Notable missing features: XML Sitemap. Adding these could improve search engine discoverability and rich result eligibility. We detected the following payment methods accepted on courses.usml.edu: Visa and Discover. Offering multiple payment options including credit cards and digital wallets improves customer trust and can increase conversion rates. The website has social media presence across 2 platforms: Facebook (@UniversityofSaintMaryoftheLake) and Instagram (@mundeleinsem). An active social media presence is a positive trust indicator and helps build brand awareness and customer engagement.

🤖 AI Summary

The title tag for courses.usml.edu is good at 21 characters: "Course Catalog - USML". The length is acceptable, though it may be slightly truncated in some search result displays. No meta description is configured for courses.usml.edu. This is a critical SEO oversight — without a meta description, Google will auto-generate a snippet from page content, which may not accurately represent the page or entice users to click. Adding a unique, compelling meta description of 120-155 characters is strongly recommended. The canonical url is correctly set to https://usml.edu/sple/online-short-courses/course-catalog/, preventing duplicate content issues, the page language is declared as en-us, the meta robots directive is set to index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1, and a favicon is configured. Open Graph meta tags are configured with 4/4 recommended fields: OG title ("Course Catalog - USML..."), OG description, OG image (social sharing thumbnail), OG type (article). These tags control how the page appears when shared on Facebook, LinkedIn, and other social media platforms that support the Open Graph protocol. A Twitter Card of type summary_large_image is configured, which controls how links appear when shared on Twitter/X. The "summary_large_image" type displays a large image preview, which typically generates higher engagement rates than the basic card type. The site implements Schema.org structured data with the following types: BreadcrumbList, EntryPoint, ImageObject, ListItem, Organization, PropertyValueSpecification, ReadAction, SearchAction, WebPage, and WebSite. Structured data helps search engines understand the page content and can enable rich results (featured snippets, knowledge panels, star ratings) in Google search results, which can significantly increase click-through rates.

🤖 AI Summary

Related domain discovery works by finding other websites that share the same IP address, Google Tag Manager container ID, Google Analytics property, or advertising pixel IDs with courses.usml.edu. This data becomes available after batch-crawling the domain database — individual domain lookups cannot populate this section. We extracted the following tracking IDs that can be used for cross-referencing: gtm_id: GTM-MW8CBZB.