Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14411313000088C6A8183E2F483A0964BB6E6CA8ACB075A0587F4D31E9FF2D92CE49664 |
|
CONTENT
ssdeep
|
12:nwMy7FGhKj0hPb+FrIS2rP6jWZy3uwVv3oJD9kDVm8Gu6l7mSv/tnfAyHAC2:n/CMAYCFzgN9ul6R7/tfh6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67709098999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccd8d0d0d0d0 |
|
VISUAL
wHash
|
302000003f3f3f3f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989080808080,f184acb6b6ac84f3,0e71710e20000000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)