Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CB1A430585C1F3D175343C2A76A576F228082C0F84B6B55FAF9836C56C5E9BDE3A602 |
|
CONTENT
ssdeep
|
96:VunV0Clx/4O2RYC+JjG1nliRfPJtIrUog5:A1SuJj+MPDJV5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6269b9999cc6666 |
|
VISUAL
aHash
|
e7e7e7e7ffff4900 |
|
VISUAL
dHash
|
084d4d091101114d |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
084d4d091101114d |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.