Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D27372A110273F1297C2D9B351BB1EE2E3824ED689085793FD476D0FE6E90ED2351A |
|
CONTENT
ssdeep
|
768:dSXy5N3q3PQX7U1QNhFCmXCoGsj17sOy2+y9BH4cLIe:63PQX7U1+rCof17sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d8289683 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3cc4cb600 |
|
VISUAL
wHash
|
80ed6130040effff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c09cbc3c3cccc36 |
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.