Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142C2A53260502A7F82A783C57721F32ED2E39289DB461D0562FC835E5BD7F50ED6362A |
|
CONTENT
ssdeep
|
768:OS5y5NPdiL1M4bXkw6lh7sOy2+y9BH4cLIe:B1gf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53e9c3c8cc2 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cc8c0c8c9e71e00 |
|
VISUAL
wHash
|
40e478202433ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cc8c8c0c8cde70e |
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.