Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EB172B025718EBB4AC7D2D0B760BF3E75CA8345C5578905A2F887263FE9E94DC41A70 |
|
CONTENT
ssdeep
|
96:TSDqM1jPnMbX1/uRofVdxg+jYEr7kXMDltn5s3ltny:GDqM1oXtUofSABk8D/nU/ny |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3dc2c62dc1c2d2 |
|
VISUAL
aHash
|
ff8f8f8b8bffffff |
|
VISUAL
dHash
|
2b32381637881000 |
|
VISUAL
wHash
|
c183838381e3f3f3 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2b32381637881000,030e468109ab650b,c69393139381353d,8c97232beb4b968e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)