Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB8194313021445F58438BE0F1A0BF59E88FC35FCF97A5BDE0B841A66AD1CB1CA6AD16 |
|
CONTENT
ssdeep
|
48:TGnchTNmTNMckcvaNTxU1N01RZJ00En6Y23D0cro/WG3D0cro/tTAHZ4qMpfsh1o:Tx6aEER00dNYNOgkcG/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3133cedc31cccc |
|
VISUAL
aHash
|
0000181838180000 |
|
VISUAL
dHash
|
0008103032300800 |
|
VISUAL
wHash
|
3c3c3c3c3c3c0c0c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
0008103032300800 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.