Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7C2A43171007A7711A382CAB771E76FE2E6524ADA8A081853FC83BD47E7D54DE2352A |
|
CONTENT
ssdeep
|
384:USkZoxJfidhL+/4V3VSYjS7EBmdPK+qz1bHIYsOy2+y9BH4cCUIe:USkZoxaZoUWqzd7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc69e54696ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c4c8ccccc8e0cc00 |
|
VISUAL
wHash
|
00006e747838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
4880800458988000,ccd2ccccc8c8c0ec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.