Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D215F32A0101C3A1523C7E8BB957B2B12659790C70F2600A6DE82FD5BD5EA4EC77288 |
|
CONTENT
ssdeep
|
24:hR/Y97RhMZlsZ3fcdjojhllUYll7rEHoeQ8HqQ+vY4S0vl5vPZHTX:Tw9gls1cmlUHoeQ8uY4S0vDhHTX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
913b191d1a75535d |
|
VISUAL
aHash
|
00ff7e7e7e7e7e7e |
|
VISUAL
dHash
|
3372ccc8d8cad6d0 |
|
VISUAL
wHash
|
00187e667e7e7a1c |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
33f2ccc8d8cad6d0,b0313333733333b1 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.