Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EF114E0C058DC3A535385E5F7F5275F76A6C355CF020A8853F892AB9BCFC608A13A99 |
|
CONTENT
ssdeep
|
96:Tk58N79oh4lzH03meGnSjIy3BTwvFYetXOHFWeRXfz/nVj6eQkR:Q5879oh4lzH03un9y3Ig3Zzf8eQi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7c24347c3333cb8 |
|
VISUAL
aHash
|
00ffffff000000ff |
|
VISUAL
dHash
|
c4c830082b234500 |
|
VISUAL
wHash
|
00ffffff000000ff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d4c8003030380810,0100000000000000,4434cad4d4c8e4c8,03032323a0cc6363 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.