Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6836DE0A640F92205B39196705F9686B37F400FBE2D0960F25CCEDEB3E58276177AD9 |
|
CONTENT
ssdeep
|
1536:P5OmS6sAo4fEJUcvOLYC6TGxD/1B+yWNGSzQ2N0msQw:P5wGOfVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3633e929c3c3d92 |
|
VISUAL
aHash
|
047464007e7c343c |
|
VISUAL
dHash
|
ccc8ccd4dcccd4f4 |
|
VISUAL
wHash
|
047c7e207e7c3c3c |
|
VISUAL
colorHash
|
38000008006 |
|
VISUAL
cropResistant
|
ad972b8a008644c6,3c172e4f24d4cc25,f1ccce96c6ccccc6,b8cadbb333773e16,ccc8ccd4dcccd4f4 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.