Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18ED1EA6F5214727247A3856472BA28CCD78F701C6752CEFD227800D91BFC9AC89765F9 |
|
CONTENT
ssdeep
|
192:KPmTgIEIGtIGIOIXRDVzAO3Rfx+u0JEp10E:UmTgXzt5l2pzAYvn0KeE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be8dc1993ec1c127 |
|
VISUAL
aHash
|
ff9fff8383ffe7e7 |
|
VISUAL
dHash
|
3377462e2f820e0e |
|
VISUAL
wHash
|
1b03338383ffc3c3 |
|
VISUAL
colorHash
|
07001000600 |
|
VISUAL
cropResistant
|
3377462e2f820e0e,83989caeae989c6c,039bd89c8c985661,ada7868e9a998b16,829c8c8c8c3cdc5b |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)