Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F29531A241AE3B44A7D2E9F3B5632B32E292CAC946120593FC477D0FEBD84FD26554 |
|
CONTENT
ssdeep
|
768:Bg3arx2WSJYoIKuWm5rhTao/sNbBesP2wXsgJydeGeGhg:Bf6YoIKiFsP2w9JBf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1f43e3c25b49695 |
|
VISUAL
aHash
|
46607e62600e0428 |
|
VISUAL
dHash
|
84c8ccc4d2b898d9 |
|
VISUAL
wHash
|
4660fefa720e0e39 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
84c8ccc4d2b898d9 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.