Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CE2D8F3A35859FF222BD38A9D18731DF257A48BCF0806C0F1A6C1986599DF1B853687 |
|
CONTENT
ssdeep
|
768:dLEHKZob+emlUcuXwztmvfl6I3o+d+5ovfln:pEHKZob+emlUcuXwztmUI3o+d+5o1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212bded6d929247 |
|
VISUAL
aHash
|
0000040000ffffff |
|
VISUAL
dHash
|
f8f8ece9e0d01c0f |
|
VISUAL
wHash
|
000c3c1400ffffff |
|
VISUAL
colorHash
|
0b000000038 |
|
VISUAL
cropResistant
|
174f69abeedaf8b8,bff9ffd819591919,d01014300d0e0e1d,f8f8f8ccece9e0e0 |
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 934 techniques to evade detection by security scanners and make reverse engineering more difficult.