Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2836430A9B4673701B7D6C49271AB1AB392C287CDB306437BF88B5E5EC7D62EC46215 |
|
CONTENT
ssdeep
|
1536:M2q20qLpapu1SYJWA588bkZx1SB6uYrmRd7kiUuEuFjCXFACkqrNT:H36uY2d1E1A7qB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc928361538373f |
|
VISUAL
aHash
|
00f9fdfdff070100 |
|
VISUAL
dHash
|
f3a9a9c9498d8dad |
|
VISUAL
wHash
|
00f8fdfdff030520 |
|
VISUAL
colorHash
|
06600006000 |
|
VISUAL
cropResistant
|
bba9e9c94d8d8dad,8282808e8e808282,8080abaf80aa8aa4,e673bba3a3a9a9a9,355999a3474e1939,ad4d4ba74cee9396,687a787c3f3d4f30 |
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 97 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)