Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E1B87063649A6F9057C3E5F7B4BB7B3199D24FD50F4148E2F8823997C6C46EC22258 |
|
CONTENT
ssdeep
|
96:TiYFemxP3ItLFz2/0LZDNkF5T47mLj98aKe+fn:9FjINFz2MLzkF5Im0h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e767e3081cb5b918 |
|
VISUAL
aHash
|
6060c30618ffffff |
|
VISUAL
dHash
|
c4c8022e32b34c4c |
|
VISUAL
wHash
|
0060c20610ffffff |
|
VISUAL
colorHash
|
070000084c0 |
|
VISUAL
cropResistant
|
0002c2c282000100,c4c20e6c33904c4c,db4404c4c8c9c9c9,a5b5b1b1c3434a9c,cced71d5cd521a0e,2bbef65656763ba9,a3a32da5ab69c6d6,8111050505858505,c6cb932325054144,2b2b4d5d554ccde4 |
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)