Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC326133A200DD2A8D9B51C8F6C49589411EC386FB314CCAB1A491FF7BC5DF169A93AD |
|
CONTENT
ssdeep
|
192:/E+gdXTwsXCkxrcL/xbW5McnthWeNWbXMT/fMmUU8VCo/F:AXTwsXFkdMrfMmUFCo/F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d756545d54545372 |
|
VISUAL
aHash
|
e4e7e7ffff3d93e0 |
|
VISUAL
dHash
|
0c0c0c08497b5515 |
|
VISUAL
wHash
|
e4c5e7ffff0000c0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0c0c0c08497b5515 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.