Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7311036C9C0053F93E2C36C9F52A3642B46C94DC3996D4849F4A6DC8BD8E118DE61EA |
|
CONTENT
ssdeep
|
24:n9CECOTgtntvHg5mcIoAy4bo+TgEupeIyhmUjpOSBJEYUb0F9:n0tnNHg5m8tDryhjn8YM8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d5f273c381e0e8e8 |
|
VISUAL
aHash
|
e66ef67c7e700000 |
|
VISUAL
dHash
|
cccc24f0f0d48672 |
|
VISUAL
wHash
|
e66efe7e7e700000 |
|
VISUAL
colorHash
|
32601000002 |
|
VISUAL
cropResistant
|
8a8aa8b2b2acaaaa,ac945470784a8aaa,e0b673c6a9f2c230,591d959599949494,cccc24f0f0d48672 |
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 10753 techniques to evade detection by security scanners and make reverse engineering more difficult.