Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117C2B436A200273B0297C3C9B391F71EA2D3924DD79A186653FD876D0BE7E40ED13956 |
|
CONTENT
ssdeep
|
768:GSXy5NW8mzwL7Lq1sOR0KIzMCoEjx+7sOy2+y9BH4cLIe:qmML7Lq1z9CoK+7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc32d1659282 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c3c3ec4cc600 |
|
VISUAL
wHash
|
80f571203404ffff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
208080106c888000,1c09c3cbc3ecccc6 |
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.