Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B937677214A6E7F2053C2D1821DA649E783DA0EC397D5CBB3E8D31B7991ED1C9292E0 |
|
CONTENT
ssdeep
|
768:un+cXT7PnnjQHncb3DTLIAbL53XDTQgH+cXT7PnnjQHncb3DTLIAbL53XDTQgNR1:9zORk+0HF2DG00s9cpZWx0oxmLj8Mk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe969696b6 |
|
VISUAL
aHash
|
00003c7e7efff3ff |
|
VISUAL
dHash
|
8c93ccd0cccc27cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
ccc8d4cccc23cc4c,8c92d293c0c8dcd4,4551253131394551,80ed252dedada2a9,01456171714d4180,a425440401dc8c9c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)