Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABD27532B0205A3B42D7C2C8B7A27B3EA3E74289D685145596FDC3B94F93E08DD33695 |
|
CONTENT
ssdeep
|
768:Uer6KPlmYZmuU9fvKWiHP0DBjbQ5aruV7sOy2+y9BH4c1Ie:uKdeuUN201QgruV7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b538b838d5b3 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
49c9c0c089c0d700 |
|
VISUAL
wHash
|
007460706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,59c9c8c0c9c9c1d2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.