Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC417565C109DD3BD274C0D0D570A32C96CDC249A3520B99E7EC473D26EA9AADC5FEC4 |
|
CONTENT
ssdeep
|
48:D0HfEmLQ4mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:D05dt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa4ddd7382d89172 |
|
VISUAL
aHash
|
0101031b070f0f1f |
|
VISUAL
dHash
|
030707370f1f3f7f |
|
VISUAL
wHash
|
c1c3831f070f1f1f |
|
VISUAL
colorHash
|
07000408010 |
|
VISUAL
cropResistant
|
030707370f1f3f7f |
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.