Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0234B726332B87843DB92DEF7392A45B2C2588DE8C74554F5C99ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ak+EsZx8/G8QJ42Bz8pEdDVSGM+B7SDM+B93Ucix+y9dQpUDF1E56ITmHTCd3m6a:ak+EsZ/8QJ42Bz8pSDVSGM+B7SDM+B9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee35916b64346a39 |
|
VISUAL
aHash
|
81ff91b1f1b1ffff |
|
VISUAL
dHash
|
4759376563636300 |
|
VISUAL
wHash
|
01ff81908090ffff |
|
VISUAL
colorHash
|
06000c08000 |
|
VISUAL
cropResistant
|
4759376563636300,ab81a973d389d9e2,000010d0c8d00200,6468686663306145 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.