Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A273637602437E3F118342E59B18D35AE3C2D249C7A74947E7E8832F67C6DA2ED3A164 |
|
CONTENT
ssdeep
|
1536:0AWDL27DcVb0y4lDK6kyG0vAG4h/TT0KxVuz88l:ltFJw/Mxl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2516c36969eb664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8493d0d8cccc33e7 |
|
VISUAL
wHash
|
00003c7e7eff81f3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
d0c8d4cccc33270c,8cb3d3d3ccc8d4d4,4561417971690141,b4b6554c2aaccdc4,00454d71714d4582 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)