Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA145A703200F2AA09478B8AF6352655A25FE2CADB5F858523B9C76573CFCC6DC1369C |
|
CONTENT
ssdeep
|
1536:jHDJSBU5jowFtTtl0CYtFWUfscUjjQm2Bzgd2rGJ+bjSFTKclmQ4xuQqY0bc5wkh:bDtxltTYjD4j/4lFurmO5kIXg6O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa4f253007386f5a |
|
VISUAL
aHash
|
009899ffefc5cfff |
|
VISUAL
dHash
|
827131711d193974 |
|
VISUAL
wHash
|
000098f9cfc1cfff |
|
VISUAL
colorHash
|
07003010000 |
|
VISUAL
cropResistant
|
8e3133791d193954,0000000000000000,01d0d0d0068c9022,d3b2aee2f282aa9e,a5576aa8c9f5797b |
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 568 techniques to evade detection by security scanners and make reverse engineering more difficult.