Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CB38BB1C669723B422B4CD870615F4BB2D3831DDE9B5A0167FC87C91FEBCA4EA05489 |
|
CONTENT
ssdeep
|
1536:nA0YZT9nsapG01/8AoszOxKLeMNFkZT9nsapG01/8AoszOxKLeMNIjZT9nsapG0U:Jgro |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac7c5c566328c |
|
VISUAL
aHash
|
ff878387fffff7ff |
|
VISUAL
dHash
|
453b3f1f402f2f0b |
|
VISUAL
wHash
|
f7818181cff783c1 |
|
VISUAL
colorHash
|
07600000200 |
|
VISUAL
cropResistant
|
453b3f1f402f2f0b,6b6329b9bd3d6169 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.