Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C0231D1C008CD2A031249D6F7F52B5EB9D6C719CB054D8493FC92EB97DBC60DA22A99 |
|
CONTENT
ssdeep
|
96:Tkq7kahHWfeGnAR8dt7HGwvlIehX4HlQeRXBHkH/JX54/Jht7mqQPJ:Qq7kahHW1nBdJjqpPM34/cqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a633c94c649b8b67 |
|
VISUAL
aHash
|
3fefe7c3c3f7ffff |
|
VISUAL
dHash
|
e3cc488c84e5f3e7 |
|
VISUAL
wHash
|
016f670303373b7b |
|
VISUAL
colorHash
|
070000001c1 |
|
VISUAL
cropResistant
|
e3cc488c84e5f3e7,057170730b737475,0f6161636361710f,c971b94d4563616c |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.