Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B87174B27040243F12C7C9F973B6BA41BBADC40DE50A1F7969ED526A2CDFF056A61B04 |
|
CONTENT
ssdeep
|
48:T2uogIuJDdvV8xeums0rBjvl5Zpbqx1h7lWNWk7j63eqf73U47I3eqaQ7AANceqz:TCarV8xeuWVvz3W946vLcKQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c49f326cc99d926 |
|
VISUAL
aHash
|
18001818171f1fbf |
|
VISUAL
dHash
|
7161713325717d78 |
|
VISUAL
wHash
|
191818181f1f1fff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
7161713325717d78 |
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)