Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192D2C934B090BA3B808B97CCF3E2EB2B66D75149D547060652FDA76C4BE7C41ED3A41A |
|
CONTENT
ssdeep
|
768:dB1xy5NiNRIyF9y0PzzGeH4Z2a3/zjxttF7sBLy2+y9l0K4/LIe:dIcYHF7sBLy2+UuK4/LIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aad49c3a3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
93ccc8c2caccd800 |
|
VISUAL
wHash
|
0064f470203cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
00c0c0004cc48000,d08cccc2c2caccd8 |
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.