Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA22FEB33E43A815311F82CF81133B4DF1C1EACBD66A65D9A5F4826C1AF4DA1B7A3644 |
|
CONTENT
ssdeep
|
96:PTnIG8HwjTvS3NRf3s/JNmZ49eA8lD4o7IBrk2dl8O6LMhJ5L6hJt2HVVZuxr:PL8H0KRfSm+eUhlBUD45GILwr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3338c8c9d9d8c36 |
|
VISUAL
aHash
|
ffe7e7e7e7ffffff |
|
VISUAL
dHash
|
304d4d4d4d320c00 |
|
VISUAL
wHash
|
0c040000c7dfffff |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
304d4d4d4d320c00,0018269696122800,17694933f184e869 |
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 628 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)