Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17143D662174D48FE317BE786EC0CBF09F185986EEF0A4AC676D4D0AD78D8D688931709 |
|
CONTENT
ssdeep
|
768:6rQZnbKemlUcuXw/tiCio7Eecsggnvvfm7:mQZnbKemlUcuXw/tiCio7Eec3gvW7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8149ee6be9c989e1 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
2304d2ba92008c0c |
|
VISUAL
wHash
|
ff003c3a0000ffff |
|
VISUAL
colorHash
|
33200030000 |
|
VISUAL
cropResistant
|
0023432323634300,00000a8e060e0e06,a2d4d0b29a923038 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.