Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BD27472A0406B3F03A3C3C9B751B76DA293834DD785181663FD475E4BE7E90E92392A |
|
CONTENT
ssdeep
|
768:eoy5N3BAPQz6U1Vo+WFzRB91Co9U7sOy2+y9BH4cLIe:wAPQz6U1cP91Co9U7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd32d0698483 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3cc4cf300 |
|
VISUAL
wHash
|
80e571200e06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
688080106c888000,140dcbc3cbccccf2 |
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)