Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198D140F1D040ED3A475385D9B7BA6B1BB391C349CF03068453F883AA5FDACA0DB1168A |
|
CONTENT
ssdeep
|
96:TkdnbzD71tDlt8v67Mcddt2twvF0eRXgHFt+e5Xdz/vZ6q2J:QdnbzD715lt8iIGdQKK7hfz3Uqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b06de547ce1a9a |
|
VISUAL
aHash
|
c3c3ffffffffff00 |
|
VISUAL
dHash
|
9696000e0c100000 |
|
VISUAL
wHash
|
03030f07c7cfff00 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
9696002e0c000000,2020a0a050caca10,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.