Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD2B6327100273B129783D67761B71FA2E3924ADF860905A3FC875D5BD7E90DE2352A |
|
CONTENT
ssdeep
|
768:aeFy5NyACtifphMJ8bydidl/v7sOy2+y9BH4c1Ie:YCt8ph3ydW7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d43ab03cc7c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc1c3c3cdcc8300 |
|
VISUAL
wHash
|
00fdf1700400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,ccc9c3c3cbcd8c04 |
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.