Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15773547D9382A53A4573D2D76929F79AE3C69D0ACDC21B4143FCC23E6AC1D98F846234 |
|
CONTENT
ssdeep
|
768:wg0vJvdwDvwpvhZSwXGLFdq8W/g1mVXvPjg:wgU8MvSL3WOmJPjg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c43e923b946a963e |
|
VISUAL
aHash
|
06607e7e0000007e |
|
VISUAL
dHash
|
8cc4c4c4a6d0c4cc |
|
VISUAL
wHash
|
06ffffff0000007e |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
f2f2f2f2f2f2f2f2,0000686060504800,0008103232120800,9088ac90888cac80,8cc4c4c4a6d0c4cc |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.