Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17971F16184012D1F171388CCB962EBD679E2E31ECE1A18005BEC43F51FDBEB1B755866 |
|
CONTENT
ssdeep
|
96:n2wE4W1JHcXHw40mU0BRqJOPochN/e0M8lNrBF91jr:n2wSG7Lf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38ccc71cc23f24e |
|
VISUAL
aHash
|
ffffe7e7e7e781ff |
|
VISUAL
dHash
|
50494dcc4ccc4d69 |
|
VISUAL
wHash
|
3e07072767e700e7 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
50494dcc4ccc4d69 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.