Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6D29472B1102A3F1157C3CA7711F71AA2E3964DDB89180993FD83AD5BD7EA0DE2311A |
|
CONTENT
ssdeep
|
768:qSzy5N5ehA7Yx8YzvVeMe7sOy2+y9BH4c1Ie:3/GYzvgJ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9038ade3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c3c3e0cdc98b00 |
|
VISUAL
wHash
|
60fb70300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2cccdc90b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.