Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AD29632B020573B42EB85C9B7A27B2E72E78249CB460454D6FD83B95BD3E08DD33695 |
|
CONTENT
ssdeep
|
768:VerIH8JAygfg81r/ZFVxe1Lguq7sOy2+y9BH4c1Ie:RH8JmfgYVxsguq7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c647bd3ab039c58a |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
68e0e4c0c8c49300 |
|
VISUAL
wHash
|
007830707c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,09e0e4c0c8c8c492 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.