Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0517365C108DD2BD270C1D4E571A32C96CD824993130B88A7EC473C27EB9AADC6FEC8 |
|
CONTENT
ssdeep
|
48:z0eIfEWLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:zz4t5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8232990e768d7d37 |
|
VISUAL
aHash
|
070f071f273f7f7f |
|
VISUAL
dHash
|
fcfce8e8e8f0e0c0 |
|
VISUAL
wHash
|
0307061f071f3f3f |
|
VISUAL
colorHash
|
07200218008 |
|
VISUAL
cropResistant
|
fcfce8e8e8f0e0c0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.