Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A235B726332B47883DFA1DEF7382946B2D2999DE9C74650F1C95A8D13C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aupo5+EsZx8/G8d+b4/DatsMJB3taMJBRwZUcix+y9dQpUDF1E56ITmHDLBABW8n:ab+EsZ/8d+0/DatsMJB3taMJBRwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fe0e6e6c9a1c2c1 |
|
VISUAL
aHash
|
1f071f1f1f17071f |
|
VISUAL
dHash
|
2c2e7270702c6670 |
|
VISUAL
wHash
|
17070f1f1f17031f |
|
VISUAL
colorHash
|
0708100a000 |
|
VISUAL
cropResistant
|
2c2e7270702c6670 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.