Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148E28432A1887A3B42A782C9B361671EF2D3438DEB971915A3FD439D0BE7D10DD5312A |
|
CONTENT
ssdeep
|
768:5e/G6R0sGw8+nrnD7n47sOy2+y9BH4c1Ie:c0lM47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a9c4dc5c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c0cc0e0ddcd9b00 |
|
VISUAL
wHash
|
00c4f0203d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,dc0cc8c4d9cdcd1b |
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.