Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162134AB26322B87843DB91EEE7382D16B2D1589DF8C74414F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8Z42DawEMIBWwSMIBuwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a2+EsZ/8a2DawEMIBWwSMIBuwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa6a6a7a63959085 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
4141301d19393535 |
|
VISUAL
wHash
|
000083879fcfcfdf |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4141301d19393535,0000c8c820200000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.