Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA71847190618C2B6583D1DCF6B5AB8A36858218CBD30F18B6FC236E3BDAC8DEC11148 |
|
CONTENT
ssdeep
|
48:TWkYRw9pcrws5PFR9kTjX63eyEZJonhmqqwv88GT8nCXxIERNIF9FqgmIzMc1bNb:TQgMNbeaeVohhZ8bT8e2QIzMcNNJSty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9509f333e24ce933 |
|
VISUAL
aHash
|
003c3c3c3c3c3cff |
|
VISUAL
dHash
|
f0f0f0f0f4e4f4f4 |
|
VISUAL
wHash
|
003c3c3c3c3c3cff |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
e4b292bcbeb282ac,f4c4004000000000,d4f0f0f0f0e4f4f4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|