Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F335B726332B47842DFA2DDF7392A45B2D3994EE9C74690F1896ACD13C3C8066937B4 |
|
CONTENT
ssdeep
|
1536:a2+EsZ/8x4MUzDawUMIBBw+MIBbUXx+y9dQyDF1ZAU84HaXwJwM:aDjSwcwgUXxpDzHyoN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbd39191b5958c85 |
|
VISUAL
aHash
|
8f81818181818181 |
|
VISUAL
dHash
|
1909296943295979 |
|
VISUAL
wHash
|
fffd918181819f81 |
|
VISUAL
colorHash
|
39200030000 |
|
VISUAL
cropResistant
|
1909296943295979,78a828a893aaaaaa |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.