Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED02EDF0D050ED37435386D5E7B66B0B7691C349CF471A4093F883ABABDACA0CA25599 |
|
CONTENT
ssdeep
|
192:QplnbzD715lt8iIGg1yS6goY4DzZRQEdS:QDnf1Zg1N65YNEdS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b04ece49b133b9 |
|
VISUAL
aHash
|
ffffcfcfffffff00 |
|
VISUAL
dHash
|
06069a9e16084408 |
|
VISUAL
wHash
|
f3f3c3c3c3c3f000 |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
06069e9e161e0e02,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.