Phishing & social engineering

Spear-phishing

A targeted phishing attack crafted for a specific person or small group, using public OSINT to reach a credibility that bulk phishing cannot achieve.

Spear-phishing is a phishing attack tailored to a specific individual or small group, using reconnaissance — LinkedIn, public calendars, press releases, GitHub commits, breach data — to make the lure plausible enough to slip past both filter and reader. Where bulk phishing is a numbers game, spear-phishing is a research exercise: the attacker invests an hour or two of OSINT to land one credential, one wire transfer, or one OAuth grant from a high-value target.

The targets are predictable:

  • Executives (CEO, CFO) — for business email compromise and approval-chain manipulation.
  • Finance and accounts payable — for fake-supplier IBAN changes and urgent-wire pretexts.
  • IT administrators and DevOps — for privileged credentials, MFA enrollment hijack, cloud console access.
  • Executive assistants — for calendar manipulation and inbox-rule installation that enables longer-running compromise.
  • Recently public new hires — fresh enough to not recognize internal signals, often visible on LinkedIn within days of starting.

Defining properties:

  • Reconnaissance-driven. The attacker knows the target’s role, recent activity, manager, and current project context. Exposed calendars and public Drive folders quietly fuel this.
  • Low volume, high yield. A single spear-phishing email can produce a seven-figure loss; the Verizon DBIR consistently shows targeted social-engineering incidents in the top of the median-loss table.
  • Filter-resistant. Because volume is low and content is bespoke, signature- and reputation-based filters underperform; behavior at the human end is the load-bearing control.
  • AI-amplified. Generative AI now produces the OSINT-fitted lure in seconds — the cost-per-target has collapsed, and the volume of “spear-quality” attacks has risen accordingly.

The defensive lever is not filter strength alone. It is the reflex — built through realistic simulation and just-in-time nudges — to verify out-of-band on any out-of-pattern request, and to assume that anything publicly visible about the org is already in the attacker’s brief.

Related terms

See also