Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158B174200418AC7BC2938599D7B49B6F2281C752C6433F64D6F4832DDBCDDA5CFB62A9 |
|
CONTENT
ssdeep
|
96:fius0uIGmBpxJpndToVuCEMbeNbpTRq6gDBMX:khExJpdTAuCEY0bpTRRgD+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc3333cc |
|
VISUAL
aHash
|
0000001818001000 |
|
VISUAL
dHash
|
00100c32320c1000 |
|
VISUAL
wHash
|
0c0c1c1c3f3f0f0f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
767534e89415746c,00100c32320c1000 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)