Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED335C736762B87D83CB81DEBB392E45B2C1A48DE9870450B5D86ADD23C3C817183BB4 |
|
CONTENT
ssdeep
|
1536:a4+EsZ/8Pe1ODDTEe+taMRB5tmMRBX7UXx+y9dQyDF1ZAU84HaXC:aR4+trtJ7UXxpDzHyC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
879af0f0b0e4b8e6 |
|
VISUAL
aHash
|
ff3c3c3c3c000000 |
|
VISUAL
dHash
|
69696969695d4fcf |
|
VISUAL
wHash
|
ff3d3d3d3d012101 |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
00080c0c006d7fff,6969696969dd4fcf |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.