Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7E1EFF1D144ED3B435386D9A7B56B0B7691C349CB07094593F883ABABCACA0CF1159D |
|
CONTENT
ssdeep
|
192:Q7nbzD715lt8iIGdIMhoayGNqXPWIM3Edw:Q7nf1Z+Mhoay4iTM3Edw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3e16cecb2129a1e |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
060e080c08000004 |
|
VISUAL
wHash
|
e7e3ffe7ef000000 |
|
VISUAL
colorHash
|
07001000050 |
|
VISUAL
cropResistant
|
0e0e080c0c0c0c10,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.