Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185A37A33411935274437C6D130A55B3BE2E6999FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:thi8KPQLz4NP/y9svbliCdjb6YwF3FtiuCa28y2O9:3mAWbXwFs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d532b62bb449 |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
8cc1c3cbcc2cd3f0 |
|
VISUAL
wHash
|
00fdfb71340038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080c12030808080,dcc1c3cbc9cc2cd2 |
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.