Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EE1E82621452A635253410AFC86238A9233A21CDFDFD48468EA474E13E3FF80D3F6D6 |
|
CONTENT
ssdeep
|
96:QvbitAVZuN/S94FFa5D8xHslSOL/3pjETyyMra+2RykYb7CTNiJvF8G:Qv2tAVZuNK94FFa5D10OLBjMjRsC5k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331d8663698cec6 |
|
VISUAL
aHash
|
c7c7c7c3c7e7ffff |
|
VISUAL
dHash
|
9d9f1e160d4d72ca |
|
VISUAL
wHash
|
c7c3838383071f3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9d9f1e160d4d72ca |
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 242737 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)