Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C24CBB1520411AF0BC3BCD0E5A27E5A50B2C9EAE61F5DCCA2BC59581FC6FE0C4D66E4 |
|
CONTENT
ssdeep
|
6144:7yygUFqQX9f7d0uYnZJWvuhkVGhuuTUkmF2uwbqdE0parVv6TM4WhKVpgPUxPdP8:HSX2OMN787 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5c418323c97e77c |
|
VISUAL
aHash
|
7e78787ed8212018 |
|
VISUAL
dHash
|
d4c0e2e4b2c94333 |
|
VISUAL
wHash
|
3e78787efa690818 |
|
VISUAL
colorHash
|
000410000c0 |
|
VISUAL
cropResistant
|
e8e8b692a64a4a6d,96d8fc1090fc9012,b292d25353d292b2,1a5ab4f486627a96,d4c0e2e4b2c94333 |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.