Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DE2963171106E3F83D7D3C9B7A2A32EA2A78249DA06054592FD837E0BE7D54CE3355A |
|
CONTENT
ssdeep
|
768:jS5y5N88ffT0Pqzus/hvdedPMFO4RZb7sOy2+y9BH4c1Ie:3af+9dMSb7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
0d094b4bc90c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,0409494b4bcdcc30 |
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)