Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C28472A1002B3B45A783C9B371B72E93E3928DEB46091557FD835E5BE7E50CE23426 |
|
CONTENT
ssdeep
|
768:gSCy5NKwX7ngwO/avw8e7sOy2+y9BH4crIe:3X7OYwL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53acc2c90cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2c0c9d98900 |
|
VISUAL
wHash
|
81ef3030040cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,14494ae0c0c9d909 |
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.