Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DF2C771B2002A3F4187C3C9F361F72EA2E7938ADB49061152FD871D4BE6E91DD27629 |
|
CONTENT
ssdeep
|
768:buy5N2Q1WkmJlPk2VRDafnI2r7sOy2+y9BH4c1Ie:D1TmzVRKT7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfc5cc512c592 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
8749c9c9e0606d00 |
|
VISUAL
wHash
|
00e57d201038ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
1d5c008830308000,c74b49c9c8e0606d |
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.