Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187639432A6565D035097D2C4F2719B1E22828749CB134BB163F857BE7ECACB5AE123DC |
|
CONTENT
ssdeep
|
1536:2zNc03lkuTu8IuCkkbuhtducuguouXRPozXgZzUVkt4m1T2G/l8VO+eH99hGbzSd:FOuiXYnrT2Vkt4m1T2wuVleH99hG3SGm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93746c303ecdcb92 |
|
VISUAL
aHash
|
00007c3c0e7c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8d8e0 |
|
VISUAL
wHash
|
00423e7e4e3e3e7c |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8d8e0,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.