Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197E27430B100AD3A85C7D2F4AB712B6E33A8D246CA534698D6F8C3BD5BC2C95DD77250 |
|
CONTENT
ssdeep
|
384:8HeBoLpIX5rsvHEdaCzawcakCZczRJ/KiSvLwYPOZ:8HeuLeX5rsvkd5aIDsRJCiSvLwYi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e349c94b4ace9966 |
|
VISUAL
aHash
|
b9c3e7e7e7ffe7e7 |
|
VISUAL
dHash
|
2b8e9e4c4d504d0c |
|
VISUAL
wHash
|
990000e3e7e7e7c7 |
|
VISUAL
colorHash
|
070010004c0 |
|
VISUAL
cropResistant
|
2b8e9e4c4d504d0c |
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 188 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|