Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AB3B835A350157E70874AA4F6A0773D913ED38BDA679CDCF3BD81726BC2C98CA0A650 |
|
CONTENT
ssdeep
|
768:upUaRPRmDaH41V+llllsDDDDRH6Ak6nt5sWjMNYd1gTn60IKgGogvqcVokL0sY+D:u4i/6H1jyG3YoYK1gZKXx/Hq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92eced9bec92c092 |
|
VISUAL
aHash
|
ff000ccc0c0c0c00 |
|
VISUAL
dHash
|
297699991919d919 |
|
VISUAL
wHash
|
ff04ecececcc0c0c |
|
VISUAL
colorHash
|
01038000000 |
|
VISUAL
cropResistant
|
0004416b6b410000,caf4c2def8dcf8ea,0659991919195919 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.