Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD825132A20559235297DAD4F271976F3286C349CB430B96B3FC938D5FCBCA5EE61248 |
|
CONTENT
ssdeep
|
384:2opY3RfuYFf+mkzViVi/PpUAP2UMO+eH99hGbzSG+txJ+uSEFRALSx7q5oUhjxwB:k3VJFf+mkR2GRleVO+eH99hGbzSG+bJR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73460346d9fcb92 |
|
VISUAL
aHash
|
00003c3c3c3c3c38 |
|
VISUAL
dHash
|
d4c4e0e0e0e0e0f0 |
|
VISUAL
wHash
|
00407e7c7c7e7c78 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
d4c4e0e0e0e0e0f0,03706c3b33393b1f,956969d9dcc42394 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.