Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DE2B87661007B3B429396DAB290B75A73E3834FD78A041157FCC32D4FA2E14EA1763A |
|
CONTENT
ssdeep
|
768:JQejZCHZR03NRL/hlqJ7sOy2+y9BH4cLIe:xZC0iJ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342f81a9d6996e1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
d8ccc4c8ec0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08304c4d4d4c3008,0080800058988000,98ccccc8e8cc3cc3 |
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.