Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DA3BA23422935274437C6D530BA9B3BD1A6C95FFAE70E410EDC87EA2BF9CA0745B119 |
|
CONTENT
ssdeep
|
1536:mACibqktpR4nXBKpSpFl26vs+w/pfmy3WX:hUM/+w/p+yu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec6db89242ef |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
526469d96a222626 |
|
VISUAL
wHash
|
00343c7c8e00ffff |
|
VISUAL
colorHash
|
33000c00040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,8212682626966686,52546d6999682a22 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.