Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABC3E7B652C062EA53279BD07531F77EB253623EEE62CA24C3FD12F85BC5C5E8858850 |
|
CONTENT
ssdeep
|
1536:AbuDCwcZd56/8pA3FSONl9jvsNorvqTFRRa5Rm8xrPmko7E5DXaxJTjXjclzzQhd:ACCn6TxsLhnrnR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df7e8695b0622169 |
|
VISUAL
aHash
|
86be8080babea61e |
|
VISUAL
dHash
|
6c68526c52766470 |
|
VISUAL
wHash
|
86be8084bebea23e |
|
VISUAL
colorHash
|
07400000400 |
|
VISUAL
cropResistant
|
6c68526c52766470 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.