Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A78374347901682630EF46CFE273798E2284EBC6C95719D9D6F0472499F7CA1FEA12D8 |
|
CONTENT
ssdeep
|
384:tWaC2kWNRW69WU6t/gTpFZ9UyE53uvz24a7a3pGva7a3pGAa7a3pGEa7a3pGz1cO:QgDNQEP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb20cece612d6d43 |
|
VISUAL
aHash
|
000f07030fbfbfff |
|
VISUAL
dHash
|
41d99f9b19616b1b |
|
VISUAL
wHash
|
000f03030f9fbfdf |
|
VISUAL
colorHash
|
060000101c0 |
|
VISUAL
cropResistant
|
41d99f9b19616b1b,bbbba62a3296aaaa,00404040d0d04048,49d185aa42464664 |
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 933 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)