Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E326233A600CC2A4DAB558CF2C4A688525EC345FB3148CAB17491FF7BC4DF069AA79D |
|
CONTENT
ssdeep
|
192:ToVRjB6j3e6TYcCcmch+1JkuO0xZMcnthWeNWbF9/ifMmUU8VCoFY:kV507+cCcmch+1JkJhifMmUFCom |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89dd227722dd8cd4 |
|
VISUAL
aHash
|
0018181800007e01 |
|
VISUAL
dHash
|
4cb2b2b211c4d069 |
|
VISUAL
wHash
|
00183c3c3030ffff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
b2f0e2a2f28230b2,32b21246ce2ab098,4cb2b2b211c4d069 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.