Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176C2E8327114663702C3C2D9F362672EE6F74385EB460914D2B9C39D17A7E98CEB361A |
|
CONTENT
ssdeep
|
768:4ny5N3vWOpxR6HTcBJle2u7sOy2+y9BH4crIe:5ZpjG2u7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec5c1c169362e |
|
VISUAL
aHash
|
fb8f818fdfdfd1fe |
|
VISUAL
dHash
|
23393f3f35373390 |
|
VISUAL
wHash
|
b38f81838f8981fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
23393f3f35373390,b4b63b1d5c6c6e15 |
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.
Pages with identical visual appearance (based on perceptual hash)