Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192E141E1C058DD37436285D8BBF57B1BB6D2C349CB01098053F843AB9BDBC60DB65AA9 |
|
CONTENT
ssdeep
|
96:TkjttgzeFMSftVSTgZ3hUSPRhtc5wvF5e9XhHFkeBXAHFnelXWX/fQGR:QjttgzejCEZff21DZqoAXgc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a55a4aa5a98b |
|
VISUAL
aHash
|
fcfce3d4fcdcffff |
|
VISUAL
dHash
|
0410021511392000 |
|
VISUAL
wHash
|
d0c0c0c0c0dcffff |
|
VISUAL
colorHash
|
07482000000 |
|
VISUAL
cropResistant
|
0410021511392000,48ef899f17878f9d,074f972ba3974d17 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)