Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129B162739420C81E1AA6D64DEBC1F1CC9256C35AF63098C3B1D0A16F6BD4EF5D8A6338 |
|
CONTENT
ssdeep
|
96:IKeTgXf7eGXfaefCih0+R1sTYtfMmORR1E8VConNO1H9YiCl:I1TSfiAfFLfcYtfMmUU8VCod |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b164ce1b95a564ea |
|
VISUAL
aHash
|
000000020a00ffff |
|
VISUAL
dHash
|
e8888a9a9a8a5200 |
|
VISUAL
wHash
|
000062ceea4affff |
|
VISUAL
colorHash
|
3ae00008000 |
|
VISUAL
cropResistant
|
ec8e99ada0b13133,9c78e1c3c6c6c3f0,0000000000000000,e814888a9a9a9ada |
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)