Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E8320B0A101CC33019B64C466354B1A63E6F384C95316CAFAF493BD9FCADA9FE27654 |
|
CONTENT
ssdeep
|
1536:Osk44OXfWpsPgW1rt3zmeO864hy4SePIJFGJEUPIJ6k5MNUblQhmL2yn6FIcNYie:OsD7PIJFGJEUPIJT/SM2ynhfz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c9e63186c6d8ec |
|
VISUAL
aHash
|
ff08183c18183c3e |
|
VISUAL
dHash
|
c893b071b0d0cc54 |
|
VISUAL
wHash
|
ff081c3c1c0c3e7e |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
c893b071b0d0cc54 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.