Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF3231D1D014EE3B072286D9B7B66F4B7692C349DF030940A7F483ABABD9C60DB1589D |
|
CONTENT
ssdeep
|
192:WqZ+919lH9K9tNRYYYYY++nzYtkJp58iIlWtyVWYyVlsYyVHCnzk9q204kmEXpG6:WqZifbeVYYYYY++zBJj1oWteWYeyYeHA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9000b6bfe9c9c1b7 |
|
VISUAL
aHash
|
ff000000ffffffff |
|
VISUAL
dHash
|
4bd4d0d12e006020 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
07206000000 |
|
VISUAL
cropResistant
|
0048404c4c500048,8cec8e17863c59c9,c4d823333333ccd4,a2c2fa3636c2fefe,dadadaf2e2e2f8f0,1838606060200020,2ed4d4d0d1d1d02e |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.