Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D28472A0102B3F12A7C2C9B351F71EA2F7824DD78A081A52FD476E0BE7E50DD17566 |
|
CONTENT
ssdeep
|
768:WSXy5NtDvPQrKv1BE5hPmCo+7Em7sOy2+y9BH4crIe:ovPQrKv10eCo1m7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd309069c583 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
1c4dcbc3cc44b600 |
|
VISUAL
wHash
|
80e771300e00ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c0dcbc3c9ccc434 |
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.