Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185F1E0E0C015FD7B535385D5A7B56B0F3695C349CF02094893F893AB6BCACA0CA225E9 |
|
CONTENT
ssdeep
|
96:Tkdb7QzH0XfeGnVAiTZtGx5YcKHF8KXQHFWuPGXSz/iYAVASZ8Q2R:Qdb7QzH0X1nvdtGx59KkdBzKR38QM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7476d2d93133913 |
|
VISUAL
aHash
|
00003c3c3c0000ff |
|
VISUAL
dHash
|
e222696969700600 |
|
VISUAL
wHash
|
00703c7c3c00ffff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
6226696969164800,e8968e2a322aaad4,2c8c8c8d88ad2624,c49e626262666e96 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)