Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBA3AC23411939274437C2C1346A5B3BD1A6999FFAE70A410EECCBFA6AFDCA0745B11D |
|
CONTENT
ssdeep
|
768:T2CgtpR4nXF6YjOpSpFlTC6rr7ptM+Sql51gEp0naAQ1+:T2vtpR4nXBKpSpFl26vtOqX1Une+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e021103ee9e5c67f |
|
VISUAL
aHash
|
404070f1f9a4607c |
|
VISUAL
dHash
|
9c94c3c3316dc48c |
|
VISUAL
wHash
|
464870f1f9f4607e |
|
VISUAL
colorHash
|
30c00000080 |
|
VISUAL
cropResistant
|
9c94c3c3316dc48c |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.