Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145D2B232A100363F0297C3C9B761F72EA2EB5649EB46091753F9879E0BA7E50DE1351A |
|
CONTENT
ssdeep
|
384:OSFy5Nuw1Ojmy45lDtsVLTMFfaaKVgNxCIYsOy2+y9BH4cUUIe:OSFy5Nuw6mVmyyn17sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83c8c2c85c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1808c8c0cc0c0e00 |
|
VISUAL
wHash
|
00ecf0203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408ccc0c0cccc0e |
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.