Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B262D77671C0A8076972D0EC2EBBA22F616245D5CD5B45CC81D4B2BC7DE8CEEC4D63A1 |
|
CONTENT
ssdeep
|
384:CwoaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:XV2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2e6a6a6a878594 |
|
VISUAL
aHash
|
8181ffffffffffff |
|
VISUAL
dHash
|
332b404e8c000000 |
|
VISUAL
wHash
|
00003e3ec0c8cccc |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
332b404e8c000000,a4a6e0f092e84c45 |
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 210 techniques to evade detection by security scanners and make reverse engineering more difficult.