Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100A36833411935274437C6D530A55B3BD2A78A9FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:zbLz4NP/y9svbliCd0wiHoFtiuCa28y2O9:bmAkE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d213dd3a9129b94e |
|
VISUAL
aHash
|
00200000040000ff |
|
VISUAL
dHash
|
98c4c0d8cd8dc3c4 |
|
VISUAL
wHash
|
0cfe70007c6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,98ccc4c8cccd8bc4 |
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.