Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129836130A410A83B81DB65C56272672A62E6E346CA5307D9BBF4C3ED6FCFC68DC67510 |
|
CONTENT
ssdeep
|
768:1AagO1/I7j0AmBJ8/sIx/joR+GgMSN9ojsRXjIUMHzDzTzafzTzSzXzmZi//Ombe:IsIxdZjIDpBvr6zSrWGygC7h/EPc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0de3f613e2c27d0 |
|
VISUAL
aHash
|
00fcfc786868f814 |
|
VISUAL
dHash
|
f0e0e4e0c8ca9224 |
|
VISUAL
wHash
|
18fcfe707868f814 |
|
VISUAL
colorHash
|
00600018000 |
|
VISUAL
cropResistant
|
72f2d2d0c4c4c5d8,f5ed70746466448c,b0686c6c65183860,f0c00006070101b0,f0e0e4e0c8ca9224 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.