Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3225F33A600DD2A8D9B56CCF6C49589401DD345FB3148CAB2A492FF7BC4CF169993AD |
|
CONTENT
ssdeep
|
192:pG3JYd9GZTyHgcAZKxb92McnthWeNWb65VfMmUU8VCoZSi:d9GZTyH/AMi5VfMmUFCoZSi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13169686567cd69 |
|
VISUAL
aHash
|
c3c3ffe7c3dfffff |
|
VISUAL
dHash
|
9696124d0e220000 |
|
VISUAL
wHash
|
03030303011f0f0e |
|
VISUAL
colorHash
|
070000080c1 |
|
VISUAL
cropResistant
|
9696124d0e220000,3232323230303030 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.