Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEA35533411835274437C6D530A55B3BD2A69A5FFAA70A010EECD7FB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:la/Lz4NP/y9svbliCdgtknFtiuCa28y2O9:8jmA/b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c213d53a952dbe0e |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
c8ccc8c8cd8dc3d0 |
|
VISUAL
wHash
|
0cfe70006c6578ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,e8ccccc8cccd89c0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.