Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1480263E1D050EE370B1281C5A7B67B6B76A1C355CB021E8453F493AB6BCADB1CB2259C |
|
CONTENT
ssdeep
|
96:TkX4z8pDfST8htyt7MYyt7/SlSmZzXSIHlRo2XDHlK5XaX/5Yl+AT431:QX4z8puohty+YydUdBXxG8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b870c7f8c7c608ec |
|
VISUAL
aHash
|
ffcfcfcfcfcfcf7f |
|
VISUAL
dHash
|
009c9c9c9e9414c0 |
|
VISUAL
wHash
|
2f0707070f0f003f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
009c9c9c9e9414c0,080661610e200000 |
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.