Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D323FE1D490EE3A479681C5B7B6AB5F77A1C345CF030A5153F4436BABCADA0CB2249C |
|
CONTENT
ssdeep
|
192:Qbr8z4S398iItvyoQ2f7hzPmOVAjU7dIE2LI8F:QiP91yvdQ04sAjef2E8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1718efc01ce84f3 |
|
VISUAL
aHash
|
cfcbcfcbc3ffff3f |
|
VISUAL
dHash
|
969e9a1e5e960ccc |
|
VISUAL
wHash
|
8380c3c3c3c3e73f |
|
VISUAL
colorHash
|
07600000080 |
|
VISUAL
cropResistant
|
969e9a1e5e960ccc |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.