Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160D2F77A40BD5E73199683C0BFE46B1EA7D5D30CC7F34B54A5E0CACE8B96E65C825202 |
|
CONTENT
ssdeep
|
384:grdF14TBLCDGUL5WmP4hI34lhx9Kygsa3yfJAcK0pSrJF+yRciED+Y0OLx1VCYUm:grLvZAgN2fSFnVFrK3VC90lX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c23339c63d39c693 |
|
VISUAL
aHash
|
08646400747c7e00 |
|
VISUAL
dHash
|
90cdcd12edadd0d1 |
|
VISUAL
wHash
|
5e6474007c7c7e78 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
27abbab21b8baccf,fffffefcfcfcfcf4,b0e0a0c0c0c0d0d0,90cdcd12edadd0d1 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.