Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E63477242C76E3F208342E18758E36AE382D50AD7678696F7D8931B27C7DA0FD36164 |
|
CONTENT
ssdeep
|
1536:uCeBSsPVwXDcsq0/R93RKrv01ipdt601mx8RQ89M:uus81aO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84183bc376cbcb1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ced193331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456929b2b4340,444d71352da3ea4b,38789d9c8c8c8d8f,82a28a969696a882,c53a382327400f0c,968fe9d3932b3397 |
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)