Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145E20A3171107A37429783CDB3A2F71FAAD34249EB4A0505A2F9C3AC1BE7D58DA73516 |
|
CONTENT
ssdeep
|
384:XSky5NteaKboIT2OOxRdajFsIm4yeI7PPoZRGkIYsOy2+y9BH4cUUIe:XSky5Ntezf2dh5Li37sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aed28c5a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccc8c2cacc8c00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08cc8c2cac8cc4c |
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.