Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DD28531B110273F119783CDB761F36A92E3524DEB4A0945A3FC875D4BE7DA0EA2352A |
|
CONTENT
ssdeep
|
768:4Szy5Nsha3F85kzsBg48ec7sOy2+y9BH4crIe:Fa396g47c7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53a921cb9c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c7c3e8cdc9c500 |
|
VISUAL
wHash
|
44f3703c0001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,88cbc3c2cdcdc9c4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.