Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED93D7F3930465FF13F653C6A6193B48FA63801AEBA58BC8926E41CC93C5C36EE57185 |
|
CONTENT
ssdeep
|
1536:fb6NEIs/L4MY0jgPvqFDgHMkNKw3Xvbd3YWYVzndE277Ii/E:dBbkNKitYZ+278i8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9293e46d6e399495 |
|
VISUAL
aHash
|
227c4e2c30007076 |
|
VISUAL
dHash
|
c6c8d8c9e8acc6e4 |
|
VISUAL
wHash
|
627e4e6c245c7276 |
|
VISUAL
colorHash
|
300000000c1 |
|
VISUAL
cropResistant
|
c363e6e4e0c1c6d2,c6c8d8c9e8acc6e4 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.