Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112B136A0106017AFA1539290F251F766E09D8798E557DB2FA2EC82D65FCBDB1CDCC740 |
|
CONTENT
ssdeep
|
96:dXb9AByCIg7RGjQWVwoH0hAj8I0A/fGqEpqT1NEpI+O:dXb9AByC6wi8ZIfGqEp0Eps |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c41c3acd63c3d36c |
|
VISUAL
aHash
|
001e7e78707e7c00 |
|
VISUAL
dHash
|
4834e4c4c6c4c00e |
|
VISUAL
wHash
|
001e7e7e727e7e00 |
|
VISUAL
colorHash
|
07000030040 |
|
VISUAL
cropResistant
|
4834e4c4c6c4c00e |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.