Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157B370219102693B20930AC273B1FF6AB3C3D269DF130585A7E4C3AB6BDFC54DD19269 |
|
CONTENT
ssdeep
|
1536:xPL0qPHOw/bPwn6nutdg46xm3mPgMqbpRDl8Gwed/AzF4HLj9Lb6w3u0YPS9sFre:xPLoj5uBPKsSzu2v1UbHMn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4e45c4e4e466667 |
|
VISUAL
aHash
|
00ffffff00000000 |
|
VISUAL
dHash
|
35968e8c16717979 |
|
VISUAL
wHash
|
10ffffff00103c0c |
|
VISUAL
colorHash
|
320060000c0 |
|
VISUAL
cropResistant
|
8404840602028200,6baaaac8e8e8cc55,d1d0c18282a08100,35968e8c16717979 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.