Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DE10FF0D050ED3B035386D9A7B56B1B7791C349CF030A44A3F8C3AB6BDACA0CA15599 |
|
CONTENT
ssdeep
|
96:TkJnbzD71tDlt8v67Mcd+SS8SEytyLAwvF57ee2X+HFQexX8g/UkYDd2J:QJnbzD715lt8iIGKEy4SYROgtKdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6b319cc4c19dc6c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
080c0c080c041000 |
|
VISUAL
wHash
|
3c242424243c0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
000c0c08080c0c10,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.