Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170D2B431A1002B3B525793CDBB50F72AE2D39289D74A0D1943F9936E4BE7E80DE2355E |
|
CONTENT
ssdeep
|
768:mSky5NBTrnmAiPwllJEgxWxr7sOy2+y9BH4crIe:9rnKol8ag7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342c53bb9699586 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c8ccd8ec0c8200 |
|
VISUAL
wHash
|
00fc7c480604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d8c8c4c8da2c8c0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.