Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EF13EF1D444ED3B071386C9A7B96B4B7691C749CF07094593F883ABABDAC60CF21589 |
|
CONTENT
ssdeep
|
192:QGG9GaGbnbzD715lt8iIGwm3GmzLIPXR3GF7y3G9aq0:QG010nf1ZwC/zsRu7W6aq0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9b82c793 |
|
VISUAL
aHash
|
f3e3f3d3dfffffff |
|
VISUAL
dHash
|
2626262630060000 |
|
VISUAL
wHash
|
d3c3c3c3c0c0f0f0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2626262630060000,fcf0b3fcf8f9fcff |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.