Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE2B4319088693F05A773C0E7A5E35BA28583C9E947476A42FDC78E0BDFC90ED17899 |
|
CONTENT
ssdeep
|
768:fE4r4PzfIIMcIIIIIc6X9JGg5b1/+RH8c2q+MqMTnY84ORbyymJAmHcZ:WIITIIIII//CT2LzMb3uI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c183963d6 |
|
VISUAL
aHash
|
00e3e7ef7f3c1818 |
|
VISUAL
dHash
|
87cfcbdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0002e4ccc4400000,87cfcbdbe5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)