Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAF328ED13109ED904C783F5FF28A2E8A35BE65ECA570D05D2FC872925C1CEC9E29685 |
|
CONTENT
ssdeep
|
1536:AVnVjFBxedBpJeIGgv6zGyuvdOnxGG7aXUVLKf3oQ5GgPU9BOzg2T/QRkFllJ62j:jk1ky4JD3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178c |
|
VISUAL
wHash
|
00007e7e7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc178c,b1b353d153531614,486aaab2a2942626,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)