Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E3362B251466A3F0043C2E19B2DA72ED3C9D609C7738E47F6E8C33752CADA99E35164 |
|
CONTENT
ssdeep
|
768:AkUjcemk4AWtgQZD47QWnFGWY8Auu9XYUjcemk4AWtgQZD47QWnFGWY8Auu9XOe1:Mu8U0pyeaW/g0vxTAa86 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f01892b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3531b5f11d4d |
|
VISUAL
wHash
|
01011c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3531b5f11d4d,5a9989cbcd4d45e5 |
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)