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Combo lists and credential stuffing explained: the email
ass format, where aggregated combinations come from, how automated login attempts convert them into account access, and what the validity economics actually look like. Combos are raw ore - the checking and stuffing pipeline is the refinery.
TL;DR - Under 1% per attempt - scale and proxy cost decide profit, not cleverness.
THE FORMAT AND THE SOURCE
Standard combo syntax:
Two source classes feed every list: breach aggregation (historic database dumps, years old, aggregated across incidents) and fresh stealer harvests (device-level captures, hours to days old). The freshness split is violent - old aggregations run 0.2-2% valid on modern services, fresh stealer-derived rows run 30-60% (material tiers cover the decay curves).
CREDENTIAL STUFFING MECHANICS
Success rates sit low per attempt - commonly well under 1% against services with decent password hygiene - which is why scale and proxy cost, not cleverness, decide whether the economics work. Credential reuse does the rest: the same breached password rides on ten services, and one hit per thousand attempts is profit at scale.
THE CHECKING LAYER
Combo checkers pre-filter lists per service before stuffing runs (the checker anatomy applies - proxy layer, response parse, buckets). Checking costs less than stuffing attempts at full list size; sampling first (200-500 rows) tells you the working rate before you commit proxy budget to the full run.
WHERE COMBOS CONVERT
Email access outranks every other class - one inbox converts to any service tied to it through reset flows (the ATO playbook walks the chain).
WHAT KILLS RUNS
Freshness sampling first, per-service checking second, stuffing only what clears - sequence decides whether the campaign pays.
★ MEMBER BONUS — FIELD CHEAT SHEET
Hit reply to unlock the sheet - takes five seconds.
Post working-rate observations below - service class, list age, and success per thousand attempts.
— RELATED GUIDES —
ass format, where aggregated combinations come from, how automated login attempts convert them into account access, and what the validity economics actually look like. Combos are raw ore - the checking and stuffing pipeline is the refinery.TL;DR - Under 1% per attempt - scale and proxy cost decide profit, not cleverness.
THE FORMAT AND THE SOURCE
Standard combo syntax:
- emailassword - the base pair
- emailassword:source - which breach or stealer produced the row
- token / session variants - extracted auth strings riding alongside credentials
Two source classes feed every list: breach aggregation (historic database dumps, years old, aggregated across incidents) and fresh stealer harvests (device-level captures, hours to days old). The freshness split is violent - old aggregations run 0.2-2% valid on modern services, fresh stealer-derived rows run 30-60% (material tiers cover the decay curves).
CREDENTIAL STUFFING MECHANICS
- Input: combo list filtered to one target service
- Automation: request workers replay login endpoints at volume, rotating residential exits per attempt (proxy hygiene rules apply directly)
- Signal handling: responses bucket into success, invalid credential, rate-limited, MFA-required, CAPTCHA
- Output: working session or validated credential, staged for monetization
Success rates sit low per attempt - commonly well under 1% against services with decent password hygiene - which is why scale and proxy cost, not cleverness, decide whether the economics work. Credential reuse does the rest: the same breached password rides on ten services, and one hit per thousand attempts is profit at scale.
THE CHECKING LAYER
Combo checkers pre-filter lists per service before stuffing runs (the checker anatomy applies - proxy layer, response parse, buckets). Checking costs less than stuffing attempts at full list size; sampling first (200-500 rows) tells you the working rate before you commit proxy budget to the full run.
WHERE COMBOS CONVERT
| Account class | Monetization path |
| Payment apps | Direct balance - fastest and rarest (MFA density high) |
| Email (primary) | Pivot point: resets unlock everything tied to the inbox |
| Streaming / SaaS | Resale of access, subscription pools sold in bulk |
| Gaming | Inventory and wallet value, account resale markets |
| Loyalty / retail | Points and stored-card checkout at linked shops |
Email access outranks every other class - one inbox converts to any service tied to it through reset flows (the ATO playbook walks the chain).
WHAT KILLS RUNS
- Rate limiting and device-fingerprint challenges on the target - throughput dies, proxy burn climbs
- Credential stuffing detected service-side ? password resets fire ? working rows die mid-run
- MFA on the payment tier - stops the direct path, leaves only pivot routes
- Stale lists - paying stuffing budget against dead rows is the classic way the economics invert
Freshness sampling first, per-service checking second, stuffing only what clears - sequence decides whether the campaign pays.
★ MEMBER BONUS — FIELD CHEAT SHEET
Hit reply to unlock the sheet - takes five seconds.
Post working-rate observations below - service class, list age, and success per thousand attempts.
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