Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100E20833111C593F2B435AC8B1A12B4DB083424FDEA664D4A2EE57F167C9DF1AD0A93B |
|
CONTENT
ssdeep
|
768:w+jyrvMpFzQG/ZDSrvVw/OOoQH9nkOb/n0kdYfn4vIIxQDU4Belyb8mInYvI5FIJ:wKy9vVRgvIIxPZmIGITIuIP/8+5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf8f529a40ec78e0 |
|
VISUAL
aHash
|
bf0f030b0f0f9f00 |
|
VISUAL
dHash
|
7b5e5353533a7883 |
|
VISUAL
wHash
|
bf0f030b4f8f9f00 |
|
VISUAL
colorHash
|
07c00008008 |
|
VISUAL
cropResistant
|
7b5c5353533a3a68,fef0f6f6d6e6871e,05616103f1c90b01,00204e6971490620,205b04a6a3500380 |
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 166 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)