Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F3397B361002E7702C3D1D533687B4AA3B8914AD753426DB8FAC7282FD6D5AD532F68 |
|
CONTENT
ssdeep
|
768:0XPUD444ytc/7GJNrUwzJYusfVbC1UOjqdjJoQW:0XPUD444YcjurdYDf7OWjJS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c715bc41b699359c |
|
VISUAL
aHash
|
00303c7e7420ffff |
|
VISUAL
dHash
|
d4c0c8c8ecc05155 |
|
VISUAL
wHash
|
00303c7c7460fff7 |
|
VISUAL
colorHash
|
31002200000 |
|
VISUAL
cropResistant
|
0055555545454646,94c0c4c8ccecccf0,0d696469684d091c,31d360703139995b,59525a5252527271,517276779b9394cc |
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 615 techniques to evade detection by security scanners and make reverse engineering more difficult.