Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136130A7080981912DA138385E720B35711FE61ECEBF7C054EAF58366A7C9CD49D3ABAD |
|
CONTENT
ssdeep
|
768:m9bRmNEV8qXEVGM447qiSK8TOsxmi1qMyjhoZmI/YzQTMTU393f:mvk440qMBt3f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8396163230b39bfe |
|
VISUAL
aHash
|
063c3d6d207c2c38 |
|
VISUAL
dHash
|
ccece3dbc8c1c8d0 |
|
VISUAL
wHash
|
0e3e797d007c3c3c |
|
VISUAL
colorHash
|
30001e00000 |
|
VISUAL
cropResistant
|
ccece3dbc8c1c8d0 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.