Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD022F307002386712278AD1F8A14B1D75179335C6860D9DBFB917A2BBCACEA4A727B5 |
|
CONTENT
ssdeep
|
192:WeihbbcgSHWlhA6VOXvErEFzBLaRKLaR1LaRuLaR/McfYNqKTzhBeC3D:klhjVwFzBLaRKLaR1LaRuLaR/rC3Tzhj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a222d5f77f098989 |
|
VISUAL
aHash
|
ffffff0081ffffff |
|
VISUAL
dHash
|
8808804909000000 |
|
VISUAL
wHash
|
26a70000273f3f3f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
8808804909000000,0000101010100000 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)