Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195D28531B1842B3B41A7D2C9B320672EB2D3828EEBDA191163FD939E0BD7D50DD53066 |
|
CONTENT
ssdeep
|
768:ge/GLO6grXOqDjy7bfZ7sOy2+y9BH4c1Ie:THOCux7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc3ac949c5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c0cc8c0cd4d9b00 |
|
VISUAL
wHash
|
00c4e0303d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4cc8d9cdcd1f |
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.