Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14481B53961041A7EA493CBE0F6E4B72A879ED34CD627E84CEADD01B22BC7D54D857290 |
|
CONTENT
ssdeep
|
96:yOjgFZkO0xK55IV9C8CZehtlC7SrcLcYvXXkGk+:gv/UPYPXpk+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc9989ce |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
100030b2b2300000 |
|
VISUAL
wHash
|
000038383c3c0000 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
100030b2b2300000 |
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.