Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177E29632D059A93F069BB3E1A770E35A7396838EC943171A42FDC74D4FEAD90DD0A4A4 |
|
CONTENT
ssdeep
|
384:ptq1II1KIIIII9MlBYYeKygh3GlrgnCrCrBCAxEl2qQPfWpW:Hq1II8IIIIIXKygh3IgnCmrU72qQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3711c9c397396 |
|
VISUAL
aHash
|
00e3ffff7f181818 |
|
VISUAL
dHash
|
9fcfcbf3e5f1f0f0 |
|
VISUAL
wHash
|
00f1ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f363d3cadd988c8c,0002c8fcd4440000,9fcfcbf3e5f1f0f0 |
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)