Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5126123B600DC2A8E9B568CF6C09689412DD345FB3148C7B1A091FF7BD0EF169997AD |
|
CONTENT
ssdeep
|
192:yk3JX74dw0XMvxeMcnthWeNWbRfMmUU8VCobe:D7cw04fMmUFCobe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
831bcc2e7332dd4c |
|
VISUAL
aHash
|
003c3d452f3f73fe |
|
VISUAL
dHash
|
ecd8d1c9c9eac7f2 |
|
VISUAL
wHash
|
001c2d073f2f33fe |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
ecd8d1c9c9eac7f2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.