Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E31425044AAAC2B5BB286F0E6C2B29541ED836CCB106D2836F5863E0FD5D24D1657F8 |
|
CONTENT
ssdeep
|
48:1DkDJOqvlcwrIwJYvUHXEfZyRECzDsA447:1Z6jDHwSEUF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333cccccccc31 |
|
VISUAL
aHash
|
e7c3c3ffffffffff |
|
VISUAL
dHash
|
4c4d4d2004000000 |
|
VISUAL
wHash
|
0707072700000000 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
4c4d4d2004000000,688b726a6a723350 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)