Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1D10F70D96CAD331253D2D6BAB29F1BB6D0C215DB826F0B46F8874C5FE6D04ED061A2 |
|
CONTENT
ssdeep
|
96:emZqkY39EvsM90vMNd4Ioqk9XOxHFDbSW4hDEEnNS:emZqkY3KNdUqk9QDmW4BEEng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2863d3996c7898f |
|
VISUAL
aHash
|
0f343c7c7c000000 |
|
VISUAL
dHash
|
ecece0f0f9939696 |
|
VISUAL
wHash
|
ff7c7efe7c400000 |
|
VISUAL
colorHash
|
01000038000 |
|
VISUAL
cropResistant
|
ecece0f0f9939696,0501020141400100 |
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)