Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB234AB26322B4B843DB91EEF7382D56B2D1489DF8CB4550B5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G8p49Daw3MZBkw5MZBTw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:aF+EsZ/8q9Daw3MZBkw5MZBTwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ae69595c490 |
|
VISUAL
aHash
|
fb818f8f8f818181 |
|
VISUAL
dHash
|
0359595b59491109 |
|
VISUAL
wHash
|
ff898f8f8f818181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
0359595b59491109,fef9f1e1f1e6e4e1,343038383cbc9c89,439a9a9adac21998 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)