Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6A3D8711588161BEAD397A1CAE173D622F9810A84B2D1102DB8C38B4FE9D9F917F2D7 |
|
CONTENT
ssdeep
|
1536:Q44+2f7AnW/h26U344Jqt7WRmHfbBMjfV4dXpzWwJklZRMsqOcjWxZdBB3ur2064:qT6E/l/Bl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9666db31219a659d |
|
VISUAL
aHash
|
c0e0f07603031e0e |
|
VISUAL
dHash
|
8b29e6ec8e8e387a |
|
VISUAL
wHash
|
c0e0f47747031f3e |
|
VISUAL
colorHash
|
300010001c0 |
|
VISUAL
cropResistant
|
8b29e6ec8e8e387a |
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 166 techniques to evade detection by security scanners and make reverse engineering more difficult.