Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D833952413183E3E65174BE5F375B76992BE8255E91BD02CA6BC276007C3CC8FA27AD4 |
|
CONTENT
ssdeep
|
1536:miboNPdfOze8vUvvvvc8zzzzOzzzzRpWzzzqP:mKoNPdfOze8/pvP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4c3cb3c2ccb1b34 |
|
VISUAL
aHash
|
b9e7e7e383c3ffff |
|
VISUAL
dHash
|
330c0d060e2e232b |
|
VISUAL
wHash
|
00e7e7c383c3cbc3 |
|
VISUAL
colorHash
|
07238000000 |
|
VISUAL
cropResistant
|
330c0d060e2e232b,e1f0f0f336a7e3eb |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.