Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADB381D61628438CA14B996DEF2FFE05131FB0AAB95889801A4FC26CD2DF4D6F71752C |
|
CONTENT
ssdeep
|
768:e2N+s7lwrTw6hxG70rB0RQ7HGbZ/9PyfR8MRERXQHK51qRXUyX/9PyfR8MRERXQb:bo0RQ7HGbZFsR8MLqcvXFsR8MLqcMP0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8c3969693c1d3c3 |
|
VISUAL
aHash
|
ffc3c1c3c3838181 |
|
VISUAL
dHash
|
332f13133b33332b |
|
VISUAL
wHash
|
ffc3c3c3c3c38181 |
|
VISUAL
colorHash
|
1b038000080 |
|
VISUAL
cropResistant
|
332f13133b33332b,aa17333337332058 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)