Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0B13275416C7A161BB2C3E9BEF0F32ED743878A86564AC691D0CA0F6EC6FA4CD44325 |
|
CONTENT
ssdeep
|
96:HlztbPzPCvjdhFwTAuJNoK9U6iQuQKHAvFO1+Dc0hmn:Hlz96HaxQwEQuQQMO1C3m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1313171347d3c7c |
|
VISUAL
aHash
|
00ffffffffffffc7 |
|
VISUAL
dHash
|
9e1024000000000e |
|
VISUAL
wHash
|
00810303f0f0ff81 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9e1024000000000e,81042606800b0b0b |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)