Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148835430E0588F3362C3D0DCB6736F9A63809255C7129E4A5BFC875E5ADAE5BCD2249C |
|
CONTENT
ssdeep
|
1536:58h8LchUdrhEf4g9h5Oe6/NP/+FLc+Bdr+IfXg9+oOnP/Nq:580ckref59CjP/2csrbfQ9+tq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a67a30c1cf3e3691 |
|
VISUAL
aHash
|
070707373f070707 |
|
VISUAL
dHash
|
2f8f2e67c7ee2e0e |
|
VISUAL
wHash
|
070707377f370707 |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
99f8e49898808080,6222e6272bc2a399,60c0d1b4b4cce1b2,108219b0607908a2 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)