Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF212F32B0046C3D2127CBD9F7A5B72616A4C694C70E1540E6DE83A84BD5D18EC36284 |
|
CONTENT
ssdeep
|
24:hR/Y9vRhMZ3ua8djojhllUYll1DqQ+vNynvq5O9PB461qbX:Tw5g3cml00v39546MbX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97c0a000553bafff |
|
VISUAL
aHash
|
7f7f3f0e1e3e1f3f |
|
VISUAL
dHash
|
cce8697a78686b68 |
|
VISUAL
wHash
|
673f1f0e0e0e0b0f |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
cce8697a78686b68 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.