Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1274264F0E024EC374B6386E5A7F16B1B72A2D749DB030AA452F4436E67CDCA1CB1159D |
|
CONTENT
ssdeep
|
192:BPpCRYYYYY++nd9TbYtEp58iIlWhac8D6KzhsMi51OrzSL8wg:BPpCYYYYY++Hbj1oWhX8uoiIzI8X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8256a1fdabde80f0 |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
63dcc461000020d0 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
00c000c8c8100000,ad5652339bcaadad,2526d2d5c5e20929,00000000000000d0,23ccdce4e4696196 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.