Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2234A726332B86883DB91EEFB382D46B2D5589DB8C74450F5C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G8O4ZDat8MmBAt6MmBc7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt9:aZ+EsZ/85ZDat8MmBAt6MmBc7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fc3c2cf1e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
f9e9cdedcd000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0b006200000 |
|
VISUAL
cropResistant
|
00000c0c0c0800ff,c800000000000000,fdf9fdcdcdede5dd |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.