Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E235B726722B4A843DB91EEFB382D56B2D1488DF8C74414F5C95A8E23C3C817297BB4 |
|
CONTENT
ssdeep
|
768:aktfC+EsZx8/G8U4VDawOMSBrwpMSBewZqN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:ab+EsZ/8PVDawOMSBrwpMSBew0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f2fc0c0c0662e |
|
VISUAL
aHash
|
010001ffffffffff |
|
VISUAL
dHash
|
7f717d1537276923 |
|
VISUAL
wHash
|
000000ffc3ffffc3 |
|
VISUAL
colorHash
|
07000200038 |
|
VISUAL
cropResistant
|
7f717d1537276923,fffff3f3edf1f7ff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.