Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E83263307094AD3F81C382E5E7352BAF72E69289CB4B120156FD83688FC6C96ED37165 |
|
CONTENT
ssdeep
|
192:OJyhqK804mgp7vF8kD9NwCzWDQJDIAJ3SW:QyhqK8HmgpLFtD9NwOWDAhJiW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d963262c8c27379d |
|
VISUAL
aHash
|
183c3c3c3c1c1c18 |
|
VISUAL
dHash
|
7171e97130697171 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
3a200030000 |
|
VISUAL
cropResistant
|
b2808c8a888eb2e8,7171e97130697171 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)