Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D461AA7660108D1E32375560BC577388D075D60FC129AEA4B27952FBA9D1EE8C173162 |
|
CONTENT
ssdeep
|
48:TGiNngaUUWqw/jrmUvJgNlhNlHpMGMousrdhJNaN4J5136yFf+JSFf9wwK6mthDi:TGm1UKMvaN/N/MGMPel136y146mthjuL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8706871533ff58c |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a6960ce0475725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69609c580577725,008292929200a0a8,e7a723273735355c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.