Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B23FB7104C86A3B118383C8E350E60BD3A7C145E6B6C55AE5EAC73AA6C5E9CC937F5C |
|
CONTENT
ssdeep
|
768:XrBkWiB6BlI0kQ/V3oJY/7O/+IuBaCAf3T+hs74ftBltEJ5H:XrBkWiB6BlPkQ/VYJI7O/+IIarCJlBlW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcacbcaca96 |
|
VISUAL
aHash
|
fd0606060606fff9 |
|
VISUAL
dHash
|
71ccecccecfc3b13 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001896161490152,96d6e8b284710f8e,c030330c3b531113,8cccecccccecccec,e4e363e3e2c887b6 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.