Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14651446266585C2E2214B905DCC1B21CD7A641FDABBA2B0126DC259F36E3F64C5AF305 |
|
CONTENT
ssdeep
|
48:LIdtA94d9fdfdHT+mRLpGb/lLpPi1Nu1AEsAGMSe+68f:8XA+9fDaaL6/lLh2xbT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33381cecc999933 |
|
VISUAL
aHash
|
c7c3c7ffe7ffffff |
|
VISUAL
dHash
|
4c4d5d1c4c0c0000 |
|
VISUAL
wHash
|
c0c0c0c0c0ccfcfc |
|
VISUAL
colorHash
|
07406000000 |
|
VISUAL
cropResistant
|
4c4d5d1c4c0c0000,7d5c505860716eef |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.