Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1748322A2839E189D1121E487E8097F4D78D645FEBF175B6613782EFF35E2034867838A |
|
CONTENT
ssdeep
|
1536:lIIbT2WRA9a8hZS7+Xx2N8Nt5S7PWjVhXnI:tRmaEZSiXVNt5S7PWjVhXnI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9668496d61cb9b36 |
|
VISUAL
aHash
|
003c7e6e667e7e7e |
|
VISUAL
dHash
|
45d4e0ccccccecdc |
|
VISUAL
wHash
|
003c3e6e663e3e3c |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
71ec2f1797e98c51,45d4e0ccccccecdc,362cd6d73233333b |
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 638 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)