Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12763F99A5452602E473740E388BB1BC9B37D1C2FF92D05D194B8C7B672A8CB5316AF4B |
|
CONTENT
ssdeep
|
1536:/dCmz5OeTL/LfxoFggOk5NRkvVN/Rnuv4LQHd8pqq+TYYbyOloQzZs8oWQbp:r5k9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19b936666663296 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
969e9e9696969696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
16200600080 |
|
VISUAL
cropResistant
|
0202020202020202,e86868e8e8e8e8e8,0a98d8c28279c8c8 |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.