A score of zero today is not the same as never malicious. The score is preserved at first-seen and last-seen across 410M+ stored indicators, so something pulled from a six-month-old log still answers truthfully.
On-demand lookup — score any indicator in one call.
Key Benefits
Enriched contextual information for each IoC, featuring attribution to threats and APT groups, TTPs. related indicators, CVEs and much more.
Comprehensive individual Risk Score for each IoC, calculated using multiple criteria and harmonised with historical score metrics.
Enhanced filtering engine to decrease IoC False Positive rate.
260+
TI Sources
80+ mln
aggreagated indicators
7k+
unique threats tracked
35+
malware categories
0-100
scoring model
more than 9 mln
unique IoCs each year
RST IoC Lookup covers multiple IoCs types to detect and prevent all sorts of cyber attacks
410M+ indicators stored, including historical data points — one call returns the current score alongside the score preserved at first-seen and last-seen, so the answer holds up for an investigation that started months ago.
| Description | Benefits | |
|---|---|---|
| Historical Scoring | First-seen and last-seen dates, with the score preserved as it stood on each of those dates | An indicator that scores zero today may have been hostile when your log was written. Investigate a six-month-old alert against what was known then, instead of guessing from today's verdict. |
| IP Address Reputation | IP addresses known to be used by cyber criminals (for example, C2 servers) | Shows whether your networks are already compromised and detects assets participating in botnets. |
| Malicious Domains | Domains known to be used by cyber criminals (for example, phishing domains) | Detect or prevent phishing, malware delivery, data exfiltration and ransomware. |
| Malicious URLs | URLs known to be used by cyber criminals — phishing pages and malicious downloads | Detect or prevent attempts to download malicious content or visit phishing resources. |
| Malware File Hashes | Malware file hashes (MD5, SHA1, SHA256) | Detect and prevent ransomware, trojans, spyware, keyloggers and RATs. |
RST IoC Lookup is a comprehensive and reliable source of information about cyber threats. Our threat intelligence platform collects data from a variety of sources, normalises it, filters out irrelevant information, enriches it with additional context, and assigns a threat score to each piece of data. This allows our customers to quickly and easily access the most relevant and accurate information about potential cyber threats.
The RST IoC Lookup API grants you access to comprehensive information on individual IoCs (IP, Domain, URL, Hash). Whether the IoC is a part of the current threat feed or already in a historical status, our API ensures you retrieve details swiftly from the historical database aggregated by the powerful RST Cloud engine with relevant enrichment details. Gain insights beyond the limitations, empowering your threat intelligence with a wealth of data.
What makes us different
More than 80 million indicators in the aggregated database
- IoC and threat name normalisation, filtering of "known-good" and false positives
- IoCs are normalised and stored in a unified format (cleared masking, etc.).
- all threat and APT group names are standardised, regardless of different aliases used by different researchers
- noise is filtered (MS Updates, CDPs, well-known IPs, etc.)
Full content enrichment
- each IoC is enriched with full context information, and all context data fields are parsed and normalised
- numerous additional enrichment mechanisms, including current network status, related IoCs, CVEs, etc
- dedicated RST Whois API used for domain data enrichement
Categorisation and scoring
- more than 20 malware categories, including ransomware, phishing, RAT, fraud, scam, botnet and etc
- industry, software, GEO tagging and more
- related indicators, TTPs, and CVEs
- attribution to threats and APT groups
- ASN (Org, Number of domains registered) and URL verification
- individual daily risk score for each IoC
- references to the sources and related indicators
Easy to deploy and use
- ready-to-use API for integration with popular TIP/SOAR solutions
- get real-time response through the RST IoC Lookup API
The IoC database is also accessible for free using our website. However, to use the data in automated way we reccmmend integrating your SOAR, TIP, and other solutions with the APIs. Please keep in mind, that Online IoC Lookup tool has limitations:
- The number of requests is limited
- Not all context is shown: limited enrichment fields in comparison with RST IoC Lookup commercial API (no TTP, environment data, etc)
Integration
We provide quick and easy out-of-the-box integration with many SIEM, SOAR, TIP, EDR, XDR, NGFW, and WAF solutions. The knowledge we produce is actionable to the extent that machines can facilitate end-to-end detection, prevention, and response.
Fortigate firewalls can directly be integrated with RST Threat Feed via API. It gives options to block or alert on access to malicious websites or IP addresses. The integration is seamless and requires no extra software to be used to configure the firewalls.
Palo Alto NGFW can directly be integrated with RST Threat Feed via API. It gives options to block or alert on access to malicious websites or IP addresses. The integration is seamless and requires no extra software to be used to configure the firewalls.
RST Thread Feed integrated with IBM Qradar SIEM via RST Downloder agent. This agent automatically downloads all the required data and pushes it to the SIEM via API. There are options to filter indicators through its score and types, malware, tags etc
Palo Alto Cortex XSOAR can directly be integrated with RST Threat Feed via API. It gives an ability to query RST Cloud API directly from any playbook or using the war room commands.
RST Thread Feed integrated with Splunk. The app is published on the official Splunk marketplace and allows to automate downloading and maintenance of the feeds into Splunk.
RST Thread Feed is integrated with Microsoft Sentinel SIEM via a standard STIX/TAXII integration. There are options to filter indicators through its score and types, malware, tags etc
RST Thread Feed is integrated with Elastic SIEM solution via a custom elastic filebeat/agent configuration. There are options to filter indicators through its score and types, malware, tags etc
RST Thread Feed is integrated with MISP via a python script. There are options to filter indicators through its score and types, malware, tags etc
Cisco Firepower can directly be integrated with RST Threat Feed via API. It gives options to block or alert on access to malicious websites or IP addresses. The integration is seamless and requires no extra software to be used to configure the firewalls.
SAF Systems is a versatile platform for collecting and analysing machine data. It works in the fields of information security, IT infrastructure monitoring, and business process analysis. The integration of RST Threat Feed and RST Report Hub within the SAF platform empowers analysts to make informed decisions.
RST IoC Lookup Data Structure
{
"ip": {
"v4": "14.33.133.188", - type | value
"num": "237077948" - value as Integer (comparison can be faster)
},
"fseen": 1569715200, - first seen timestamp
"lseen": 1569801600, - last seen timestamp
"collect": 1571184000, - indicator collection timestamp
"tags": { - tags in order to categorize indicators
"str": [
"shellprobe",
"generic",
"botnet"
],
"codes": [0,11,4] - IDs of the tags
(to be used to minimize memory usage in SIEM)
},
"asn": {
"num": 4766, - An autonomous system number related to the indicator
"firstip": {
"netv4": "14.32.0.0", - The first address in that ASN
"num": "236978176" - The first address as an Integer
},
"lastip": {
"netv4": "14.33.166.39", - The last address in that ASN
"num": "237086247" - The last address as an Integer
},
"cloud": "", - is this ASN related to a well-known cloud provider
"domains": 480010, - a number of domain names registered in that ASN
"org": "Korea Telecom", - organization
"isp": "KIXSASKR" - provider
},
"geo": { - geo data
"city": "Suwon",
"country": "South Korea",
"region": "Gyeonggido"
},
"related": {
"domains": ["8d60f888.ngrok.io"] - any related domains from our threat lists that use that IP
},
"score": { - scoring
"total": 66, - total score (High risk - score 55 or higher)
"src": 81.94, - weight by source:
how important that sources were according to our algorithm
"tags": 0.83, - coefficient of tags:
how important the categories of the indicator (malware or spam, etc)
"frequency": 0.98 - coefficient of frequency:
how often we have seen that indicator before
},
"fp": { - false positive suggestions
"alarm": "false", - is it a false positive alarm: false/true
"descr": "" - if alarm == true, the descr contains description
why it was assumed as FP
},
"threat": {"malware_name1", - contains related threat names
"malware_name2"}
}
The whole layer, one endpoint
Send an IP, domain, URL or file hash and get back the scored verdict, the context behind it, and the source references that justify it — the same intelligence the feed delivers in bulk, answered one indicator at a time.
Built for the moment a human or an agent needs an answer about one thing, right now. See how we score →