Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101211272E840662FA3238BDEA96373BCE157DA1EC7D22C0075E842C64AE4F65C873143 |
|
CONTENT
ssdeep
|
24:hR056tCPpXoGa3WpIU1DrQ/atVzj82bXZ79g1K28pa:T3EpX5vVk/ath8itG1KbQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c33636c8c33bb4c |
|
VISUAL
aHash
|
0000083c181800ff |
|
VISUAL
dHash
|
000028f030300030 |
|
VISUAL
wHash
|
00003c7e1c0c6eff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
000028f030300030 |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.