Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5B132332104783A853359A6B6A53F8B769BF30FCA971C14A2BCC2691BD6C65CF02775 |
|
CONTENT
ssdeep
|
96:PESjyN2hOMCRXuJ+3qaWxKP1lcM398u91VLoJz5k0:PNyG+Xco4M5M5v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b30ccc4eb33323 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0a304c4c30008060 |
|
VISUAL
wHash
|
ffffe7ef00000000 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
4a184c4c30040000,000001d0cce02000 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|