Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6136130A442A53346D7A2D6AB39AB1FB2E5C2C9DF230B0167F8879C9FC7D94DD12056 |
|
CONTENT
ssdeep
|
768:ldltWGWII0IB3vVyd++cd1i+mTJJRDxkgri1va5UO7Go7N4fUs4eZOD6bTS1CNFo:29IIHB3vVyd++cd1i+mTJJRDxkgri1v4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95466a99b5e689b4 |
|
VISUAL
aHash
|
c0002e6f0f0f0200 |
|
VISUAL
dHash
|
2263ccda9a9a1496 |
|
VISUAL
wHash
|
fb006eef4f0f8602 |
|
VISUAL
colorHash
|
13281001000 |
|
VISUAL
cropResistant
|
acacb09484a6a727,72656e6ef68f1b1b,2263ccda9a9a1496 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.