Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123836532D353190390A7C5C9B0724B4973918A8DCB174F7967BD27BAF9CECB53622298 |
|
CONTENT
ssdeep
|
1536:Y6D80j4LeeeE0eekKPUgOq61eIJ5QNgeiUee0BczyeQCSUGul7OZz7x07ZUMpHK7:OUPUgOq6G6krjTRk222I22222220Timx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4cf866938d390cb |
|
VISUAL
aHash
|
ffc3ffc3c3c3c3c7 |
|
VISUAL
dHash
|
d626e49faf8f8f8f |
|
VISUAL
wHash
|
b383ffc301c341c7 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
d626e49faf8f8f8f,91d2b2b0a9a0a2f2,099964f1312f2b2b,d7693248cccc442c,256d4f7747596b21,9793d6c569a27171,4f43712c30302061 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)