Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127934DA83609F5275AB383A7109B24077379121B940D4C30B294ED9EB6F9C5EE07BFD5 |
|
CONTENT
ssdeep
|
1536:1DZNjRaI8/CLqnZbU1RSs02ObI/i3UwLVCcuGOjjRn3:1FNhod2OMdW5uGOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3513a75ee742ac1 |
|
VISUAL
aHash
|
006c7c787c00003d |
|
VISUAL
dHash
|
02d8d8c8c8587071 |
|
VISUAL
wHash
|
c07c7c7c7c0018ff |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
02d8d8c8c8587071 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.