Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E53307291542837A17B79DAF060672ED2D3D70FCA4346E1A2F8939A0FD6CE1E96340D |
|
CONTENT
ssdeep
|
1536:e7vXWEJr5kHeE6sgBEPg9vg3LgJMgJ1g1xgajgapgvzg4IgvHdgJvgQDgxDg4bgh:yvXWOk7qmqvGnZQH1aVwrkrWZVIN808q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b463c33398dc6c6c |
|
VISUAL
aHash
|
2425c3dfc3c3ffff |
|
VISUAL
dHash
|
8ac9b6300e0e000e |
|
VISUAL
wHash
|
0000c3dfc3c3ffc7 |
|
VISUAL
colorHash
|
07200040180 |
|
VISUAL
cropResistant
|
8ac9b6300e0e000e |
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 221 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)