Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DC18572A1162D37068282D9B7729B0BBA94C287C3071B0557F9839E2BDBD81CC99359 |
|
CONTENT
ssdeep
|
96:Tv7hlICbzttA+0tR+BFBQ4r48/DCDpuDnDCIt/tINKKGpG45b2:rdlICbzgLCEB0qI4Uxm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0fdc2b4b58fa0b1 |
|
VISUAL
aHash
|
ff00101800183c7c |
|
VISUAL
dHash
|
32b1f1e094b5e9f9 |
|
VISUAL
wHash
|
ff1878380e1c3c7c |
|
VISUAL
colorHash
|
0fe00000000 |
|
VISUAL
cropResistant
|
00202000080800b0,b1b1f1f094f1e9f1 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.