Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BD29572B010263B1293C3C97761B71FE2E39289DA86091653FC875D4BDBF90DE2752A |
|
CONTENT
ssdeep
|
768:O2DeFy5NBd7is5l9/yl7f0Qz6nfIvkMqU7sOy2+y9BH4crIe:l7iS9/IN6nAc07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d438b92da5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9ccdc3c3cd8cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,cccdc5c3c3cd8cd0 |
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.