Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129E2A97160406B3F01A392CEB391A75E63E3834FD74A1516A3FD872D0BE3D60E92765A |
|
CONTENT
ssdeep
|
768:zNeld5jSNS8AE+0vYn/U+C7sOy2+y9BH4c1Ie:MGuXI7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d360f932bd6994c1 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98ccc4c8cc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,9888c4c0c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.