Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182434B73676078BD82CB41EDFB386E45B6C6A49DE8860480F29866ED23C7CC17287774 |
|
CONTENT
ssdeep
|
1536:a5+EsZ/80eNRMDT1eJRzMQBXRhMQBkrpRXPZlQaQD9OehM+BrUgq4FJ:aGgR/RerpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92a4edcb92b4ecc1 |
|
VISUAL
aHash
|
ff00420c6c000000 |
|
VISUAL
dHash
|
ec92848cc8a8caca |
|
VISUAL
wHash
|
ff00f6cefc00fe00 |
|
VISUAL
colorHash
|
39000e00000 |
|
VISUAL
cropResistant
|
08089000c0c00080,1f5fceaee6ced060,98868c88a8a8caca |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.