Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2D2A9316110AB3701A7C1CAB6A15B2E72E7434FEB860512A2FD83ED0BF2D14DE27759 |
|
CONTENT
ssdeep
|
768:NeX9C0EMgPzfxp4v5w8r+nDUNPRf7sOy2+y9BH4crIe:uIPzfnO5wrnANPRf7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d604b434bd34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccd8d88c8c00 |
|
VISUAL
wHash
|
467e74006004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc0d8d88c8c |
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.