Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD38571B0B11637023F7685F320A795B2A3D70F8BCA0BF9EAD48B944789C946F17589 |
|
CONTENT
ssdeep
|
3072:mNj/b/nYq4GApSLQ/1Ft8L6EfGQrFrN7vl/U:mNj/ZqS0gU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df80238689d87677 |
|
VISUAL
aHash
|
ffcf98bc3c180000 |
|
VISUAL
dHash
|
a019313170714553 |
|
VISUAL
wHash
|
ffff989c9c988080 |
|
VISUAL
colorHash
|
1b007000080 |
|
VISUAL
cropResistant
|
e2b8baa2902b2bc0,a019313170714553 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)