Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145C285726100273B019782C5B362F72EE3E39289EB86091653FD535E0FD6E91DE1786A |
|
CONTENT
ssdeep
|
768:1SCy5NNAJq8REjPSGzaQSOaA7k4z91HFnEJYveD4SJJu4Q/2PESsJx7sOy2+y9Bb:mYq8REjPSGzaQSOaA7k4z91HFnEJYve6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363b53ac42c96cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2c0c9c99d00 |
|
VISUAL
wHash
|
80ef3010340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0c494ae0c0e9d909 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.