| Step | Wordlist / Method | Source | Success Rate (est.) |
|------|-------------------|--------|---------------------|
| 1 | Default ISP patterns (crunch generated) | Above patterns | 35–45% |
| 2 | rockyou.txt + Algerian mutations | Hashcat rule dz-rules.rule | 15–20% |
| 3 | crackstation-human-only.txt (15GB) | CrackStation.net | 10–15% |
| 4 | dz-phone.txt (10-digit mobile) | Custom generation | 5–10% |
| 5 | dz-sport-clubs.txt + years | Manual compilation | 5–8% |
Instead of storing algiers1988, algiers1989, use a rule-based attack:
hashcat -m 22000 capture.hc22000 rockyou.txt -r alg_rules.rule
Inside alg_rules.rule:
$1 $9 $8 $8
$1 $9 $9 $0
$d $z
c $1 $9 $9 $0
This increases your hit rate without storing duplicate data. wordlist wpa a algerie best
To build your own best DZ WPA wordlist:
The development and distribution of these wordlists exist in a grey area of the cybersecurity world. They are dual-use tools.
The purpose of the "best" wordlist for a security professional is to prove that a password is weak. If a password is cracked in under an hour using an "Algerie" wordlist, it serves as proof that the user must switch to a complex, high-entropy passphrase (20+ characters) that does not exist in any dictionary. | Step | Wordlist / Method | Source | Success Rate (est
Several popular wordlists are widely used in the cybersecurity community:
The "Best" wordlist for a specific region is not merely a translation of English words. It is a curated database reflecting the local "password psychology" and default configurations of Internet Service Providers (ISPs) operating in that region (such as Algérie Télécom/AT, Ooredoo, Djezzy, etc.).
An effective "Algerie" wordlist typically includes: Inside alg_rules
for year in 1958,1962,1988,1990,2000,2019,2022; do for word in $(cat dz_geo.txt); do echo "$word$year" echo "$year$word" done done > algerie_wpa_suspected.txt
The Secret Sauce: Apply the best64.rule (from hashcat) to this list. This turns algiers into Algiers1! and algiers123.
A WPA wordlist (commonly used in Wi-Fi security auditing) is a collection of potential passwords (e.g., combinations of names, words, or alphanumeric sequences) used for brute-force or dictionary attacks against WPA/WPA2-encrypted networks. These attacks attempt to guess a network’s password by systematically testing entries from the wordlist.