Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9D34D703208B93A567343D5619A3316727D631FD40E4820B378E8AB76DECCAA467FD9 |
|
CONTENT
ssdeep
|
1536:8FlYjXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKduAtobZ8o:8FGjX8VMAIGvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e1bd191993684 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
3b2707179c9ed0cc |
|
VISUAL
wHash
|
81000080eefefeff |
|
VISUAL
colorHash
|
0f000008180 |
|
VISUAL
cropResistant
|
3b2707179c9ed0cc,8090803030d00080,b93882e6c6869696 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.