Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E83C87152116C3FA12757E4F26173A9906BD35ADE9F8918B3EF03A113D3CA1DE222D8 |
|
CONTENT
ssdeep
|
768:Qfutnhnqx6eCLRGBEjKY4nKQOovb6U6wCLDCLwrCL/MGLGW4CLoCLe9ZBHrDD4XE:7qcwByKY4nKQOovb6U6OMGLfxqAu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0cd3e3e33303796 |
|
VISUAL
aHash
|
1e7878607c2c0070 |
|
VISUAL
dHash
|
b4e2c092c8d8e4e4 |
|
VISUAL
wHash
|
5e7878687c7e1470 |
|
VISUAL
colorHash
|
38000006000 |
|
VISUAL
cropResistant
|
b4e2c092c8d8e4e4 |
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 810 techniques to evade detection by security scanners and make reverse engineering more difficult.