Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB517565C108DD2B9270C0D4E571A36C96C9824993130B9893EC473C27EF9BADC5FEC8 |
|
CONTENT
ssdeep
|
48:cKPfEPLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:cKGt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7e08d36cd882237 |
|
VISUAL
aHash
|
f0f8e0d8a4800000 |
|
VISUAL
dHash
|
00000c3008010002 |
|
VISUAL
wHash
|
fcfce0f8e0f0e0c0 |
|
VISUAL
colorHash
|
07001048041 |
|
VISUAL
cropResistant
|
00000c3008010002 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.