IPv4 Octet Extraction (Capture Groups) Regex for Go
/^((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))\.((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))\.((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))\.((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))$/All five implementations are free. Switch engines without signing in.
What this pattern does
This page provides a comprehensive, battle-tested regular expression for matching ipv4 octet extraction (capture groups), ported and verified for Go. A rigorously tested regex reduces debugging time and protects your application from edge-case failures. The snippet below is ready to drop into your Go project — whether you're validating in a Gin handler, a gRPC service, or a command-line tool.
Go Implementation
// IPv4 Octet Extraction (Capture Groups)
// ReDoS-checked | RegexVault — Web & Network > IPv4
package validation
import "regexp"
var ipv4OctetExtractionCaptureGroupsRe = regexp.MustCompile(`^((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))\.((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))\.((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))\.((?:25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9][0-9]|[0-9]))$`)
func ValidateIpv4OctetExtractionCaptureGroups(s string) bool {
return ipv4OctetExtractionCaptureGroupsRe.MatchString(s)
}
// Example
// fmt.Println(ValidateIpv4OctetExtractionCaptureGroups("192.168.1.1")) // trueTest Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
192.168.1.1 | 256.1.1.1 |
10.0.0.0 | 192.168.1 |
255.255.255.255 | 192.168.1.1.1 |
0.0.0.0 | 192.168.01.1 |
172.31.100.200 | abc.def.ghi.jkl |
When to use this pattern
This pattern is drawn from the Web & Network > IPv4 category and has been checked for ReDoS risk. That matters for Go developers because Go's RE2 engine is inherently safe from catastrophic backtracking, but this pattern has been additionally verified for correctness. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.
Common Pitfalls
Avoid using this pattern in a replace context with back-references without validating the captured value — the groups are strings, not integers.
Technical Notes
Groups 1–4 capture each octet as a string. Cast to integer after extraction. Python users can use (?P<octet1>...) syntax for named groups.
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