Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135B2A6727110273F029783C57761B76EA3E38248DB96190653F983AD4FD7E48DE2352A |
|
CONTENT
ssdeep
|
384:dSaYby5NqerHvJvhV6JBuRLFDI5XvJjzS2MIYsOy2+y9BH4cCUIe:dS5y5NqQFz2X47sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ed69b8923aa9 |
|
VISUAL
aHash
|
000004040000ffff |
|
VISUAL
dHash
|
94c8cdc9cbc9cc31 |
|
VISUAL
wHash
|
007c742c6820ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
94a480b034c0dede,8080804100415141,94c8c8edc9c9cbcc,0000081010100000 |
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.