Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155D2B93161106E3742A7C1DA7361672A62E3434FEB861512A2FD83BD0BE7D54DE2732B |
|
CONTENT
ssdeep
|
768:6oeeBjyZ0wYm0c5m343cAq2I7sOy2+y9BH4crIe:60jHS5m3ctq2I7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd34edc6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c8888c00 |
|
VISUAL
wHash
|
067c7c206004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccc4c0c8d8888c |
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.