Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C223C83146C46F3B918353C293109A4FE3F68148E777D58AF1E9D31B26C4D9AC827BA9 |
|
CONTENT
ssdeep
|
768:P9HtDmFT0Y/cgpyNEndE8NXnR9z0Bc1O/Km5No7DwZmhzpWnyb1cwTR8BbOvEz9R:P9HtDOI8y0RNbYwO/KuogaWnphOvEz9R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacacaca96 |
|
VISUAL
aHash
|
fd060606060efff9 |
|
VISUAL
dHash
|
71ccecccccfc3313 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0001896161890152,96d6e8b094710f8e,8030330c33133313,f8e4c8e0e0f0e2e2,8cccecccccecccec,d2b16161e1e3c7c6 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)