Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A318712CC85A8362113E1E1EE60DA2994C7C1AFC79359009BF927AE53DDE709432ACD |
|
CONTENT
ssdeep
|
48:5/dY5tJk5C95U5RzvxKyaOvUyR4N7LKDl6qlOKAXc:MRkg9WrxKqU04xY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c2a71a56dd52979 |
|
VISUAL
aHash
|
03071d3f3f1f1e18 |
|
VISUAL
dHash
|
f7f5f5f3f3f6f0fa |
|
VISUAL
wHash
|
03071f1f3f1f1e18 |
|
VISUAL
colorHash
|
136000c0000 |
|
VISUAL
cropResistant
|
ce9bc9cdc7ced8e5,78f8f8f8f8093535,f7f5f5f3f3f6f0fa,73636323b3915171 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.