Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0D143E1C058DD36075246D5F7F52B1FB6D2C349CF02098493F842AF8BDEC60DA566AA |
|
CONTENT
ssdeep
|
96:TkXVhHkhOhHW5eGUE0V8wvlAeJXuHlDeoeXE4/vppQkR:QXVhHkhOhHWXUE0VV44oH4vQi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2634d474767434d |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
cc30300c00080000 |
|
VISUAL
wHash
|
00dfdfe7ff0f0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
38300c0c00000000,4010c8cecec82202 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.