Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F454BD234259392A4437C3D420A95B3BD1A6DD8BFAE70A414EDCD7FB2BFAC90741B158 |
|
CONTENT
ssdeep
|
1536:9cajc+X0c4/9tMbXlOJi55R+OvU0RYKjaH8ArXvUd0gAK6FyP0CQlcp3w7X5G1uw:eMweC9k2pCGImEz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d3e96c4b6e9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
c693c8d0cccc238c |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234796,96a3f38bccc8dcd4,4551657171694541,4145457171454500,9997676b69694984 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)