Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DF22AF5A3A5A6BAB101C3E4D7365239739701FAEE838310C3ED9B9C59D5C8EDC49841 |
|
CONTENT
ssdeep
|
384:aMNN+SFhXT79wacvrSXNhYcRKST+AYs+IuOSrRe5I4SHOB+Sv8XwyViGyVi6qKTr:awhXTRlXND9bVbvIOpTHRVLX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332c565cacaaaca |
|
VISUAL
aHash
|
2f0607050703ffff |
|
VISUAL
dHash
|
be5edd5d1d1e8cc0 |
|
VISUAL
wHash
|
1f0605050703ffff |
|
VISUAL
colorHash
|
16000180003 |
|
VISUAL
cropResistant
|
bc1e5c5d9d5d1f1e,8080c0c08064e2e0,1e5e5ddd7d5d1e3e,0000008020100804,0f0f1f1f3e7d7264,9c4e4e4e46cc4937 |
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 11716 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)