Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBF10DE0D404ED3B475382D9ABB66F0B7791C349DF47194493F883AB6BCACA0CB15689 |
|
CONTENT
ssdeep
|
192:Q7nbzD715lt8iIGdYMPVGZCyGkChfYMuEfw:Q7nf1ZeMPVGMyG1iMuEfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccce6668899 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0808080c00200000 |
|
VISUAL
wHash
|
e7e7efe7ef000000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
00080808080c1020,0000000000000000 |
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.