Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F436271BA027825309F41CFD21B5A0D61D0E7CEC655A9D4AAF49230A6F7CE4F6E13E8 |
|
CONTENT
ssdeep
|
768:4uZgXJTM3JH4rlAY5GLIjvlfa4X4AwlMLfTT+o+o7TlYKotFPHo0IbTH9khkDtv2:0wWpHnH1HUDzD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b635a5e8ca93a1e4 |
|
VISUAL
aHash
|
ff000004f9ffffff |
|
VISUAL
dHash
|
0e0e8c19c1262067 |
|
VISUAL
wHash
|
e7000000f9ffffb1 |
|
VISUAL
colorHash
|
0e202000400 |
|
VISUAL
cropResistant
|
14001e8e9e600004,70e097bcb0266860,189821073a330067,0a0e8e8e08980901,66679832b2320c10 |
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 765 techniques to evade detection by security scanners and make reverse engineering more difficult.