Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15551C51AA00C35040A4206B17AC1BB4B37D6806C6D72AFAD2EF5825C4EF6E96DE23395 |
|
CONTENT
ssdeep
|
48:Tkboebv3XTksbHiQmTHImHI1WjtCUH5SWWNWdk2l/Fdmuce4KN39HT:TksUXTks+QQoNKZSWWNgk2l7mde4utHT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d84d586667998cb3 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
303032484cb09cb8 |
|
VISUAL
wHash
|
0000187c275f4f5f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
33124c4db01c98bc,000c323230300c32 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.