Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBC29571A1006A3F4197C3C97361B72FA2E3D28EEA8A190553FC935D4BE3E90DE1351A |
|
CONTENT
ssdeep
|
768:jSCy5NPPOIh5UBRzjKu24z7sOy2+y9BH4crIe:2Oq7w7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53adc2c90c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2e0c9e99d00 |
|
VISUAL
wHash
|
80ef3010340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0c494ae0c0c9e909 |
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.