Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19923F0306900DD3741CBA6C8A7725B7A22F58341C503068AFAF4CBBA9BDFD69CA37155 |
|
CONTENT
ssdeep
|
768:MRsIx/jzSqjIb4cgmLCu6ZfnHHVozQYVcUf7x:6sIxfSqjIb49mLCu6ZfSHVj7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33e6c983ec343c3 |
|
VISUAL
aHash
|
0000242e3e7c7860 |
|
VISUAL
dHash
|
b5d4c8ccccc8c0c0 |
|
VISUAL
wHash
|
1010246e7e7efcf8 |
|
VISUAL
colorHash
|
30019000400 |
|
VISUAL
cropResistant
|
c1f0f078bcb4bc3e,fc9a40061e0e6012,b5d4c8ccccc8c0c0 |
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 1487 techniques to evade detection by security scanners and make reverse engineering more difficult.