Catch Hijacked Blogs Before You Click: Auto-Monitor RSS Feeds

The Problem

You follow a dozen tech blogs in your reader. One of them gets hacked. The attacker posts normal-looking articles that load a cryptominer or stealware. You don't know until you're three clicks deep and your laptop fans spin up. By then, damage done.

Or a trusted source gets compromised more subtly: DNS hijacked, HTTPS stripped, JavaScript injected. The feed still updates. The titles look legit. But the content you're reading isn't theirs anymore.

What if your AI agent watched your RSS feeds, spotted the weird stuff, and sounded the alarm?

The Workflow

Here's what you'd ask your agent:

Monitor my five favorite tech blogs. Every morning, fetch the latest article from each RSS feed. Check: Does the new content match the author's usual voice and topics? Are there any suspicious redirects, embedded scripts, or metadata changes? If anything looks off, store it as a potential compromise and email me a summary with the risk level and what changed.

Your agent connects to WebArm24, designs the pipeline in seconds, and shows you a visual canvas with:

• Fetch feeds: Poll five RSS URLs (your Substack list, Medium bookmarks, indie blogs).
• Extract & store articles: Save the latest post title, author, URL, word count, and full text.
• AI analysis: Compare this week's article against the author's history (stored from previous runs). Spot tone shifts, topic changes, keywords that don't fit, suspicious metadata.
• Anomaly detection: Flag redirects, weird domain variations, missing HTTPS, unexpected JavaScript tags in the feed item.
• Conditional alert: If confidence score is above your threshold, send an email digest with risk level, the concerning article, and what changed.

You run it once to test. It works. You adjust one setting ("only email me if risk is high") by asking the agent. You set the schedule to 8am weekdays. Done.

Next Tuesday morning, your inbox has a heads-up: "Dev blog (usually posts about Go) just published a cryptocurrency tutorial with three redirects. Likely compromised."> You don't click. Crisis avoided.

Why This Works

RSS is still the best early-warning system for tech blogs. But you can't manually read twenty feeds daily. Your AI agent can. It can spot patterns a human would miss: a sudden switch from technical deep-dives to trading advice, or a URL pattern that's one character off the original domain. It can compare the posting cadence, word choice, and metadata against months of history stored in WebArm24.

No APIs to wrangle. No third-party app to trust. Just your agent, RSS feeds, and rules you define.

Variations to Try

Monitor for content plagiarism. Feed your agent a list of blogs you follow, plus your own published writing. Each week, check if anyone's republishing your work under a different name or publishing stolen content from each other.

Track niche news trends. Point your agent at five indie hacker blogs or SaaS founder blogs. Have it flag sudden shifts in what people are building or discussing. Store the summaries in persistent storage so you can search six months later and spot patterns in industry sentiment.

Competitor blog watch. Monitor your competitor's public blog RSS feed. When they post about a new feature or market shift, trigger an inbound webhook that starts a Slack notification with a one-line summary. Bonus: Ask your agent to cross-reference the announcement with their job listings to guess if they're hiring for this.

Getting Started

Sign up at WebArm24 and grab your free credits. Add the MCP server to your agent:

claude mcp add --transport http webarm24 https://webarm24.online/mcp --header "Authorization: Bearer <YOUR_WEBARM24_KEY>"

(Other MCP clients—Cursor, Windsurf—add the same URL and header to your config.)

Then ask your agent to build a feed monitor. Describe the feeds, the checks you want to run, and how you want to be alerted. Within minutes, you'll see the pipeline on the canvas. Test it. Tweak it. Schedule it. That's it.

No more clicking blindly into compromised blogs. Your agent watches your reading list while you ship.

Start building at WebArm24.