Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F42632070089D3701D79AE4B2B99F1B60D6C352CA071549E6F597FD8BF7CA9CB263A0 |
|
CONTENT
ssdeep
|
384:niul/LTw/prq2vVeC9k1B9d7P2UDawZ0Ha9uM:nik/LTwladPRWwZ0uuM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4d36b606e1f9560 |
|
VISUAL
aHash
|
00007e7e7e7e0000 |
|
VISUAL
dHash
|
03ccecece4e4c413 |
|
VISUAL
wHash
|
007c7e7e7e7e3400 |
|
VISUAL
colorHash
|
1a2000001c0 |
|
VISUAL
cropResistant
|
8dd5c9c5a6f57566,03ccecece4e4c413 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)