Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6A36A33411835274437C6D530A95B3BD2E69A5FF9A70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:IOLz4NP/y9svbliCdbO+aFtiuCa28y2O9:hmA6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c212d53a9d2dbd4a |
|
VISUAL
aHash
|
00200000040000ff |
|
VISUAL
dHash
|
e8ccc0c8cd8dc3e4 |
|
VISUAL
wHash
|
0cfe70007c6570ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,a8ccccc8cccd89c4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.