Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B729536715C121C256738D6E0BA33AAF72B553D3E431CF07561DE1ED2A866FB032AA1 |
|
CONTENT
ssdeep
|
384:F06WDJns08tEYrvrvkeE9DTWXYepottNlbo9saLG:F06WDJs08tEYrvrvkeE9DTM1peJoCaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c5873cc3693896 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
0223331333333300 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000200 |
|
VISUAL
cropResistant
|
0223331333333300,2b13331333332b33 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.