Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5235236BCA4D633006301C5E6E19F5BB3C14184E5B682D7EABBCB990FE8F54D836991 |
|
CONTENT
ssdeep
|
768:RdqnILvMJtJuv+qc33CWFVvCozQT/j+G1KycMLnU3Pnj4uHMJQLFt:RdqSvMJt8v+qc33CWTvCozQTb+G1Kych |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83b67c30cc7cc3c3 |
|
VISUAL
aHash
|
062f7f3f6f040078 |
|
VISUAL
dHash
|
d4c8c8e8c8dcc2c2 |
|
VISUAL
wHash
|
020f7f3f7f230078 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d4c8c8e8c8dcc2c2 |
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.