Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C39933461971264533C6D430B95B3BE396DE4FFAA70A054FECE7E72BEACA06456108 |
|
CONTENT
ssdeep
|
1536:UQapuNbKV357BcDxOLlofjxKRArFhaiB5TWZ3NwklDBPoYythdfVVw21RsNQcxUa:UshdfVVw21RG9XQ9Av |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b96cc63318ce9993 |
|
VISUAL
aHash
|
c381999981c3ffff |
|
VISUAL
dHash
|
2323333333330002 |
|
VISUAL
wHash
|
818199998181ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2323333333330002,9a98a2a282808a02,0140eaeaeaea6201,9cc4419000000000,c679616969693971 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.