Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153513133A0148D27864389E4E7F5E51DB0818B8BCA53458387E8C39D5EFAEA8DC5A548 |
|
CONTENT
ssdeep
|
48:jzRcu9w6PI3cAcS8cAcfbJn+6RoE7IG24gt1h/r6xOvQjsJKLzKYPa:jKYIrHsabJnfRv7UtfrTv+sJStS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ccb63b6489962e6 |
|
VISUAL
aHash
|
390018181f1fbf00 |
|
VISUAL
dHash
|
7161713331757a7b |
|
VISUAL
wHash
|
bd19181d1f1fbf00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
7161713331757a7d,34757b3b2b292929 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.