liveBook · Manning

Phishing

As explained in AI for Everyday IT

Phishing is a deceptive attempt to obtain information or induce harmful actions by impersonating a trustworthy sender or service.

Phishing uses deception to make a message appear trustworthy while seeking sensitive information or prompting a harmful action. Email is a common delivery route, and convincing messages can be faked. Treat an unexpected message as suspicious when it feels unusual, asks you to click a link, or requests sensitive information. section 7.1.3

AI can help assess a questionable email without requiring you to understand its technical contents. Copy the email’s source text and header information from your email client, then provide it to an AI service for analysis. M365 Copilot can also inspect email content directly when that integration is available. section 7.1.3

Use this practical checking workflow:

  • Open the message source or properties: Outlook for Mac provides View Source, while Outlook for PC provides header information through File and Properties. section 7.1.3
  • Copy the source and headers into M365 Copilot and ask whether the email is a phishing attempt. section 7.1.3
  • Review the explanation rather than relying only on the label; the demonstrated analysis identified failures in SPF and DKIM authentication checks. section 7.1.3

A direct analysis request

After pasting the email’s source content into M365 Copilot, ask: “Determine whether this email is a phishing attempt.” Use the response to investigate suspicious authentication results before clicking links or sharing sensitive information. section 7.1.3

Figure 7.2 Finding the source text and headers of an email in Outlook for Mac and PC
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Compare how Outlook for Mac and PC expose email source text and header information for analysis. section 7.1.3

Figure 7.3 M365 Copilot analysis of email source text
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Inspect an example of M365 Copilot analyzing pasted email source text for phishing indicators. section 7.1.3

How AI for Everyday IT covers it

How deep it goes
Explains source retrieval, Copilot prompting, and SPF and DKIM findings without requiring header or source-code expertise.
Examples
Uses Outlook source and header views, a direct Copilot classification prompt, and authentication failures as evidence.
What it assumes
Assumes access to an email client and AI service, while teaching source and header inspection without requiring technical understanding.
What you can do after
Diagnose suspicious emails with Outlook source data and M365 Copilot before opening links or providing sensitive information.
How it connects
Links phishing with email security, malware, sensitive information, email authentication, SPF, DKIM, and AI assistants.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.