Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1943295A1E010E9330B1684C9F7F56B2F7AB6C345DB02099467F043EA5BCADB4CB32599 |
|
CONTENT
ssdeep
|
192:Qzoh47IImeZjTnz8lRqS/4BmdYMxIdcUF/GoBmUX8RYMoVlokx8F:Qa47IIxjTzdd8eMxI9JP8TyMoVloa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff95986698a69861 |
|
VISUAL
aHash
|
9c9c9e9e80b0809c |
|
VISUAL
dHash
|
2c28382c27642031 |
|
VISUAL
wHash
|
9ebcbebe80b0a09c |
|
VISUAL
colorHash
|
39000038000 |
|
VISUAL
cropResistant
|
3600000000400066,631d1d65650b3712,0000a1626a618040,0202020202020202,0202020202020202,0202020202020202,b4cbcbdba4c89bd5,6c78786463646031,201c1c586c64646c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.