Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1986100B161989D3753E2E6F0A1B2E70F71818397CB9B370657F19B998AC7DA6CE00142 |
|
CONTENT
ssdeep
|
96:xOR9BCScrq7MBpQzx21S2uVM3z4/DjBnVTYx0eEt:xO+RQd21S2uVYsBw0eEt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d98c669966999966 |
|
VISUAL
aHash
|
d8d8989818181800 |
|
VISUAL
dHash
|
3232323232323204 |
|
VISUAL
wHash
|
f8f8f8f8d8d89880 |
|
VISUAL
colorHash
|
01000038000 |
|
VISUAL
cropResistant
|
3232323232323204 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.