Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B42672021085E7EE087C6E4E391B77A61E9C384C61B924DE1B843F95BC7CA4DD67AE4 |
|
CONTENT
ssdeep
|
192:fVZhGO5OH5O1lg/3FqvQkTO3FOrfODfN62dcOrkyQctyROVloh34y+O4D/4WOOM8:DxtgRVUyUIR/sImyz3aK5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f42b5e0adb8a4e19 |
|
VISUAL
aHash
|
89c3c3ffeff3c3fe |
|
VISUAL
dHash
|
298e0e0818069718 |
|
VISUAL
wHash
|
00c3c3e7cfd3c3c2 |
|
VISUAL
colorHash
|
07000038080 |
|
VISUAL
cropResistant
|
298e0e0818069718 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.