Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165C28331B2006B3B519382CEB761E32FE2E2820ADE86085457FD83BD4BD7D55DE2351A |
|
CONTENT
ssdeep
|
384:nSkZn3nq82urYzVSYYiJ0RnPQDKg9LAOb0LaVIYsOy2+y9BH4cCUIe:nSkZn36n+RXCJb0W7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc2de543d69a |
|
VISUAL
aHash
|
000024200000ffff |
|
VISUAL
dHash
|
c490ccccc0c0ec00 |
|
VISUAL
wHash
|
00007c747838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,cc92ccccc8e0c0ec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.