Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11323D73118C42F2B15D392C8A321E65BE395914DE63AC64AF5DBC72A1AC5DC4CC3EF98 |
|
CONTENT
ssdeep
|
768:AaLymzKjfPVHAZK1bBd7Tmi4I1C49xQ8Eh9lZwKdCw1zuOVF03VBD8+6FrJP9PGn:AaLymzKrPVHSK1bBhm3I1/nQ8EhdwcCN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94eb94b7e896b1c0 |
|
VISUAL
aHash
|
ff00000000063e3e |
|
VISUAL
dHash
|
7170e8f0ecccccec |
|
VISUAL
wHash
|
ff18683c002e3e7e |
|
VISUAL
colorHash
|
01000000030 |
|
VISUAL
cropResistant
|
0001416363c90002,8484c0c4b4a00e0e,f0f08c96969cc8e1,33f0e0f0ec4cecac |
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.