Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C7399E1089D717F52AB3A84A92CE669B3E38105CF59690463FCB34CCBC6F44DEB550A |
|
CONTENT
ssdeep
|
384:a7rUWTg5+U/U51Mv0a5+U/U51Mv3ZNmSYBx+90G5lI6KiYSIg27u7LnKCn5jUwuV:mUe51Msd51MM7+93bySQonK4jjuTeWLn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9194eccbc2a3bd19 |
|
VISUAL
aHash
|
ff00062e0c0000ff |
|
VISUAL
dHash
|
ccd49eccd8d252c6 |
|
VISUAL
wHash
|
ff060e7e3c0200ff |
|
VISUAL
colorHash
|
19006000000 |
|
VISUAL
cropResistant
|
314d4c11049c8860,0000000000000000,cc96dcdcd8d2d2d2 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.