Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120A1213301089C67120EA3D1D6D5F7BB8BB3D649D9618E02E7955FC9DAC4F62B53310A |
|
CONTENT
ssdeep
|
48:BuyfhucDj1rLdrd+Ln9TNmTNMfUcTNCmwNcmwNpF0lmAHwKZJTpJ8AHXqPcYnbU2:BHAUCnbUHal0kAHHdpqAHIPnbUtun50e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b999cc6633266633 |
|
VISUAL
aHash
|
ffdbc38181c1c3ff |
|
VISUAL
dHash
|
32320f0f0f270f12 |
|
VISUAL
wHash
|
e7dbc3818181c3e7 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
8282809696808282,32320f0f0f270f12 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)