Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19173517211426E3F219382D58328E35DF386D609CBB7495A9BEC831FA7C6DA1DD360E4 |
|
CONTENT
ssdeep
|
1536:ebu0st8Dce5Z0M4a1Sl5yE0zfG417MD09xVuz8Ni:34Xas7hxi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a6be166eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84d383331433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2327e3a20d090989,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000f0e,8483f3d38b2b1393 |
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)