Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFE2B4366014763F4287C3CAB352E32EA2F75345D75A0905E1FDC3AD0BA7D60DA63A1A |
|
CONTENT
ssdeep
|
768:xS5y5N7U+E8TXc6z2aZGJESZpETIe7sOy2+y9BH4c1Ie:MGjyYS8/7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec128d6d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19094b4bc96ce300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,1409494b5bcdecf0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)