Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B003C62293850D18D12BE590FAD1B70973BB834FC30943BC96E724B6E28F5D999375C9 |
|
CONTENT
ssdeep
|
768:ylvM+Qs9uiy82222Cy822223QCy8222Jy8222Sy82222Sy822229arJPZS4AcQX8:ya/s9uiyJy+yfywyny8aNPZS4AcQX1W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc3343cc3c3cb34 |
|
VISUAL
aHash
|
00003c7c00180000 |
|
VISUAL
dHash
|
4000686900700000 |
|
VISUAL
wHash
|
3c7c7e7e3c3c3800 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
4000686900700000 |
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.