Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7C51913E3560509A67A98D4F05B7FA739440A4EA3494AF17AACCB3A7CCF1773220BD5 |
|
CONTENT
ssdeep
|
3072:H7ttfGB5sBIo33xRW2uS1uLErqqkkxr+qX0UN/AP/hWfr0CVbUIlEnb2ZWAknnun:rfGfsBIoHx89S1qW/42uaMAknurrMe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a759b20758a65 |
|
VISUAL
aHash
|
e7e7c3c3c3ffc3c3 |
|
VISUAL
dHash
|
96968e8e96088e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e3c2c3 |
|
VISUAL
colorHash
|
06000208400 |
|
VISUAL
cropResistant
|
96968e8e96088e96,565656291b56565f,91c9ad52d26bab8d |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.