Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D942A587241751242E720F1902F470BB376996BE80A8858B2FCDAD97EBCC5C516BFBC |
|
CONTENT
ssdeep
|
6144:0JxnBvTiq87MU0q9STmjyl5M/GE+TsGavWNYeePi90:0Rj87MC6NYe+i90 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
932cece101e4de5b |
|
VISUAL
aHash
|
c300000000ffffff |
|
VISUAL
dHash
|
933f79d4d8c80010 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
0e006000080 |
|
VISUAL
cropResistant
|
000083c093931313,c8000c0c14201010,004021d4d4c42200,137c3979d4d0d8d8 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)