Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DA3BC23821935274437C2C1347A5F3BD1A68A5BFEE70A014EDCCBFA6AF9CA0745A11D |
|
CONTENT
ssdeep
|
1536:T7TGtpR4nXBKpSpFl26vvi/K0IpHwv5qX:OUMAi/KfpHkK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f42ec6cb113c6c5 |
|
VISUAL
aHash
|
00003c0c00009fff |
|
VISUAL
dHash
|
3065686874657a26 |
|
VISUAL
wHash
|
98323c3c1410bfff |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,0000006060600040,0000a0c0a0a00000,680002c82e3626e6,206568687866657a |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.