Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159D1A631821C163B468BCA80E4F3AB9A75D6C34FC3176DD4BFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:UMdtFMdj0HqtoI6BAZ6CIbOL/gABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:UMJY0rBAyOL4srCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce93eb24b272546a |
|
VISUAL
aHash
|
f4f8fcfcf6f2f0f9 |
|
VISUAL
dHash
|
2502703424240303 |
|
VISUAL
wHash
|
f0f8b894b0f0f0f1 |
|
VISUAL
colorHash
|
06200008040 |
|
VISUAL
cropResistant
|
2502703424240303,71418143c8cce67c,0b4363575341213b,9b0d8dc95d65497f,031f452531377161 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|