Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17673747142426A3F159386D98364D7A9D3C2E209C7A7998E97EC832F27CBCE0DC36574 |
|
CONTENT
ssdeep
|
1536:vvyEcFsDclW0r4G0G68y/0CHGgNLAS03l:ECkP0LE3l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a69e367eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383339433231c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,1a1baf67559592a3,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,0502382727240386,84cbf1d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)