Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103420A74A1119A37459BC3D47BA09B2B73E5E258EB07074547F983AC8FFBC90DD20A46 |
|
CONTENT
ssdeep
|
384:BC2E894+3Ya8xrXj/W/we9D4A2IjuFIJH8RDE:f93oK9zjuFIJHSg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce70cb619b64ce31 |
|
VISUAL
aHash
|
601818183c38203c |
|
VISUAL
dHash
|
c4b0b0a0f0e06869 |
|
VISUAL
wHash
|
60f87c3c3c3c3c3c |
|
VISUAL
colorHash
|
30c00018000 |
|
VISUAL
cropResistant
|
f0e0d0ccccf0f0f0,c4b0b0a0f0e06869 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.