Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106F174E1D450DD374B1281C6ABB67B2F77B1C355CB420E5053F893BA6BCACA1CA2259C |
|
CONTENT
ssdeep
|
96:TkLPY4z8pDfST8htyt3SYyt7zJ0lhktv5XQHlT0d9bXRE/PUYl+AT431:QLPY4z8puohtyJSYyxJGFh0bNEUG8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b870c7fcc7c700cc |
|
VISUAL
aHash
|
ffcfcfcfcfcfcf7f |
|
VISUAL
dHash
|
009c9c9c949414c0 |
|
VISUAL
wHash
|
3c040404cfcf003f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
009c9c9c949414c0,080661610e200000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)