Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148C29831A0406A3752D382C9B261772E65EB434ADB420629A2FD83FE0BD7D54DF7782D |
|
CONTENT
ssdeep
|
384:BoQeprqLSIRpjkgcPHxyNFjTr+mIRbR1TIYsOy2+y9BH4cCUIe:CQeprNHC9Taxd7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9d2d8c89 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8ccc4c8cd8d8300 |
|
VISUAL
wHash
|
0cf430206445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccccc0c8cd8d8b |
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.