Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1812103138890762305A566CE7AFDC31DF6CE8007C60B3A1D66F783D90E95D08980BC24 |
|
CONTENT
ssdeep
|
24:haQxWDYKL68h8d6mA9IwTS7Q7mVCQ8Qva5JPoK5/a:fxKYKL+BiYzca |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9793c1616574343 |
|
VISUAL
aHash
|
00dbfbffffffffff |
|
VISUAL
dHash
|
273a0b0002000000 |
|
VISUAL
wHash
|
008181ff0f0f0f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
332b0b0000000000,0000804141408000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)