Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5F33B9E63142EBA85DB03DDFF1122BA6666D1F2CB454A04C67C835C0EC6D6C9D3B9C2 |
|
CONTENT
ssdeep
|
3072:kKfn486jck6jAy6jEo6jpz6jgV6jwG6jJc6jag6jKj6jhF6jq/6jvM6j1q6jZJ6+:kKfn486jck6jAy6jEo6jpz6jgV6jwG6R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c02c31f1e5467db |
|
VISUAL
aHash
|
3e3f33979713ffff |
|
VISUAL
dHash
|
e0d0c63636661000 |
|
VISUAL
wHash
|
1c1f130703119fff |
|
VISUAL
colorHash
|
070c0003000 |
|
VISUAL
cropResistant
|
e0d0c63636661000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 5 techniques to evade detection by security scanners and make reverse engineering more difficult.