Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AF33BFD23205ED904CB83F6BF29B2E8A68BD26ACE534D05D2EC872525C5CBCDE15581 |
|
CONTENT
ssdeep
|
1536:oFhakKyNjrFeb0xJ3ztc6+0Bc390F05I8SzGVuNyF1buQCvBJuhDkN0M7rkcJphO:Au44CM0FA3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d2696999339 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6317ccdccccc178e |
|
VISUAL
wHash
|
01437f7ffefe0000 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6317ccdccccc178e,adacab23151d2962,6624aa2848a4b257,4521416969610145,0109314d4d330101,19d94c66b94c4c4c |
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.