Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACA3BA23421936274437C2C1307A5B3BD2A6AD5FFEE70A411EDCCBEA6AF9C90745B119 |
|
CONTENT
ssdeep
|
768:FbktpR4nXF6YjOpSpFlTC6rrDUBq4GkZc5OJ2wOMX:FQtpR4nXBKpSpFl26vG+wJqMX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6df91393cc |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
166c69d9e1e71d24 |
|
VISUAL
wHash
|
00043c2c3d31ffff |
|
VISUAL
colorHash
|
39000030000 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,5002c82e26162666,1ae46849d9e2e7cd |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.