Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15192A773600436360A8391E4B777239BB3E9C164CB13579A26F983ED0FCACA5CE76594 |
|
CONTENT
ssdeep
|
384:qwa93jC0iHJojU9DrJ3DuBYLGpj/d9blB/vMDvl7:+/4SYx6jThBMrl7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ecec6c6cec64 |
|
VISUAL
aHash
|
000c0c0c0cffffff |
|
VISUAL
dHash
|
18585c1c18494d0c |
|
VISUAL
wHash
|
000c0c0c0cffffff |
|
VISUAL
colorHash
|
06002000090 |
|
VISUAL
cropResistant
|
58585c1858494d0c,9290c88989e28884,03585858581c1c18 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.