Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1B2C871A640183785A397D5FB37AF1E62A2C34AD303055381B8DBAE5BE7CD0DD86E24 |
|
CONTENT
ssdeep
|
384:TPMO69RsIoQfWpXkOHWmb47DtasdvFHVjVlcs1KVd9ELhZqM:Y9i3elmb47JasnVjcs1KVd9ELhZqM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4d00a47d5383aef |
|
VISUAL
aHash
|
3cffffffff0000ff |
|
VISUAL
dHash
|
d80637b400d26200 |
|
VISUAL
wHash
|
00f3d7d6fe0000ff |
|
VISUAL
colorHash
|
0e000000007 |
|
VISUAL
cropResistant
|
40802736b4060600,636b004000000000,010303030b0b0001,002002d6c6064000 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)