Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17234D8B180B6D53B064FB1E1F911A74E7593D34BDA4627E1ABFD83AC2AC7E109D1B018 |
|
CONTENT
ssdeep
|
1536:kB+LMMXhPxDDSSTKCqmrtO2Cv7EYFGMq6CO/MuGn8I3tISclchpzj3JLv0LSGMqV:l+qEq9g/YjWQWsCBddfSXK5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c13836cdeb3078 |
|
VISUAL
aHash
|
76ff00ff06040000 |
|
VISUAL
dHash
|
c44849416c0c2d1d |
|
VISUAL
wHash
|
ffffe0ff06060400 |
|
VISUAL
colorHash
|
18006000080 |
|
VISUAL
cropResistant
|
a5a6a6a6a5a5a400,a6a485a6a4a5a6a4,c44849416c0c2d1d |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.