Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC329373A500DD1A4D9B95C8F2C8918D912EC345FB3148CBB26491BF7BD0DF0A9A93AD |
|
CONTENT
ssdeep
|
192:pd5AQ8sexY6McnthWeNWb4J3fMmUU8VCocw:v5AZJ3fMmUFCocw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
efea9416f434b0c1 |
|
VISUAL
aHash
|
f1f1f1f1f18000ff |
|
VISUAL
dHash
|
2763c32343432400 |
|
VISUAL
wHash
|
f1b070f0f0f100ff |
|
VISUAL
colorHash
|
07c00000010 |
|
VISUAL
cropResistant
|
076363832363430d,2724000000000000,45415144c4564945,00003432320c1000 |
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.