Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D28571B284673B42A7D2C9B330672EB2D3828DEB9A5A2153FD439D0BD7E10CD53466 |
|
CONTENT
ssdeep
|
768:Se/G6Bo9PEvC/sNPxxc7sOy2+y9BH4crIe:9o9Y2GY7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc3a9969c1c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc8c9cdcd8b00 |
|
VISUAL
wHash
|
00c4f0602d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc8c8c9ddcd4b |
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.