Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9326333A500DD2A4D9B96C8F2C49589411DD345FB314CCAB2B4A1BF3BC5CF169A83AD |
|
CONTENT
ssdeep
|
192:+quYd8wV+kxrWofxb7McnthWeNWbzMVfMmUU8VCopn7:b8wV5xEMVfMmUFCop7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d756545d54545762 |
|
VISUAL
aHash
|
e4e6e7ffff3d93e0 |
|
VISUAL
dHash
|
0c0c0c0c51794505 |
|
VISUAL
wHash
|
e4c3e7ffff0000c0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0c0c0c0c51794505 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.