Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14273095E6855602A472740F384BB1FC9F7391C2FF92911E194B887E5B3AC8F1316AB4B |
|
CONTENT
ssdeep
|
768:ONyWu8n+WPy/u/sC11R5SM9XcNwGWirDLjwX8UfM9o5wV9nxMap/AODyWeKKD0E0:OhehFOsgosyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8818d661e1b637af |
|
VISUAL
aHash
|
ff1f0f0f01001fff |
|
VISUAL
dHash
|
bcf0fdddd3df3d42 |
|
VISUAL
wHash
|
7f1e0f0f01000fff |
|
VISUAL
colorHash
|
07608010000 |
|
VISUAL
cropResistant
|
bcf8f3fdfdd3cbdc,fca28aa63392a294,a282d04b5351a2a2,38026d3f3f1f4040,fcf17dfdd7d3cfbd,03452398c4635523 |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)