Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D819430B0058D336593D0F8D2E3BF91228A867E8B1616459AFCCA1E8FD3EC6DE30565 |
|
CONTENT
ssdeep
|
96:1tmCplff9nmc8cc0QSkmwjqkqsB3Pe9ZdhM:73ff9ddc0QSk5jpqhM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b737353c3e3e1808 |
|
VISUAL
aHash
|
01e7e781a5ffffff |
|
VISUAL
dHash
|
4f0c080d0d000000 |
|
VISUAL
wHash
|
00c3e70000fff3f3 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
4f0c080d0d000000 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.