Fraud and risk scores
Credential Stuffing IP Intelligence: Detect Attacks with IP Lookup
Credential stuffing arrives from datacenter ranges, proxies and rotating addresses. Which IP signals separate an attack from a real user, and how to act on them.
- Author
- Mojahid Ul Haque
- Updated
- Reading time
- 5 min read
Quick Answer
Credential stuffing uses automated login attempts with stolen credentials; IP intelligence adds context like geolocation, VPN/proxy status, and reputation to each request, letting you spot abnormal patterns-such as many attempts from a single data-center IP or a sudden surge from a high-risk country-and respond with challenges, rate limits, or blocks before attackers succeed.
Key Takeaways
IP intelligence adds geolocation, VPN/proxy status, and reputation data to login attempts.
Unusual geographic spikes or known malicious IPs often signal credential stuffing.
Combine IP data with velocity checks and device fingerprinting for stronger defenses.
Avoid relying on IP alone; attackers use residential proxies and compromised hosts.
Use Crafzo IP Lookup to automate enrichment and trigger blocks or challenges in real time.
How IP Intelligence Works
IP intelligence services enrich a raw IP address with contextual data that security systems can evaluate in real time. Typical enrichment includes:
Geolocation: country, region, city, latitude/longitude, and sometimes the organization or ISP.
Connection type: whether the IP belongs to a residential ISP, a corporate network, a data center, a VPN, a proxy, or a Tor exit node.
Reputation: presence on threat feeds, botnet lists, spam databases, or records of abusive behavior.
ASN and ownership: the autonomous system number and the organization that administers the IP block.
When a login request arrives, your security stack queries the IP intelligence source (via API or local database) and receives these attributes. You then apply rules-for example, block any request from an IP flagged as a known bad actor, or present a CAPTCHA when the IP is from a VPN and the login velocity exceeds a threshold.
When to Use IP Intelligence for Credential Stuffing
IP intelligence is most valuable at the perimeter of authentication systems, especially:
Public-facing login pages where you cannot control the client device.
API endpoints used by mobile apps or third-party integrations that accept username/password.
Privileged access portals such as admin consoles or remote-desktop gateways.
Any service that experiences sudden traffic spikes from unfamiliar locations, which often precede credential stuffing waves.
In these scenarios, enriching each request with IP data lets you differentiate between legitimate users traveling abroad and attackers using anonymizing services.
Common Mistakes to Avoid
Treating IP as a perfect identifier - Attackers frequently hijack residential IPs or use proxy networks that look benign. Relying solely on IP blocks can block legitimate users and miss sophisticated attacks.
Ignoring velocity and behavioral signals - A single IP with a low reputation might still be legitimate if it belongs to a traveling user. Combine IP data with login frequency, device fingerprint, and time-of-day patterns.
Using stale intelligence - IP reputations change quickly; outdated feeds can let malicious IPs slip through or cause false positives on newly clean addresses.
Over-blocking based on geolocation alone - Blocking entire countries can harm legitimate customers; instead, use geolocation as a risk factor, not a hard rule.
Failing to log and analyze - Without logging the enriched IP data, you cannot tune thresholds or investigate incidents effectively.
How to Use Crafzo IP Lookup for Protection
Crafzo is a manual lookup tool, not an API. It belongs in the investigation step of a credential-stuffing defence, once your own rate limits or login-failure counters have flagged an address, rather than inline in the login path.
Start from your own signal. A spike of failed logins from one address, or many accounts tried from one address in a short window, is the trigger. Paste that address into Crafzo.
Read the network first. A hosting or data-center classification, a VPN or proxy flag, or a Tor exit are the patterns credential-stuffing tools hide behind. A residential ISP with none of those flags is more likely to be one compromised device or a shared connection.
Check the fraud score and its band. The score is shown with the provider's band and the time of the check. A high or very high band on an address that is also hammering your login form is strong corroboration; a low band does not clear an address that your own logs say is attacking you.
Score it for your own rules. A simple scheme many teams use: +2 for a hosting or data-center network, +2 for a VPN, proxy or Tor flag, +1 for a blacklist listing, +1 for a country your users never log in from, and +3 if the address already failed logins on several accounts. Three points or more earns a CAPTCHA or step-up authentication on that address; five or more earns a temporary block. Tune the numbers to your false-positive rate rather than treating them as fixed.
Record the evidence. Copy report gives you every field with its source and timestamp for the incident notes, and the shared link lets a colleague open the same result.
For per-request enrichment inside the login path you need a provider's API in your own stack; Scamalytics, whose score Crafzo shows, publishes one with a free tier, as do IPQualityScore and MaxMind minFraud. Keep the scoring rules above in your own code, where they can be tuned and audited.
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