Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4E253208289B5F703B342C17A785B96F681B28DCF234E1577F853AF87CAE60AE1115D |
|
CONTENT
ssdeep
|
384:ZoAD4s+2buwyef2uKGkC0ND30f0fKQbvw1d+ZnBEwpmYxUIZcC:jR0tur83yynbIaZnlmAUI9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9d42a84c12db23f |
|
VISUAL
aHash
|
083c80fcffff8181 |
|
VISUAL
dHash
|
92500c82c2ab2313 |
|
VISUAL
wHash
|
283880fcffff8181 |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
92500c82c2ab2313,ab2f25620d95b4cd |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.