Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C402EFE0C015EE7B436385D9A7B66F0B77D1C359CF02094493F883AB9BCAC90DA2259D |
|
CONTENT
ssdeep
|
96:nkfm1DtSTBEWhUSPRr8v67ToOSFYGhlYh0XIdCYrGhl9aXsCYrGhlP2XWCYj/TQI:kfm1DcVB8iyYG+CyGtCyGhCKMz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6b64ccd19991999 |
|
VISUAL
aHash
|
ffe7e7e7ffffff00 |
|
VISUAL
dHash
|
a04d4d4c28000000 |
|
VISUAL
wHash
|
ffc7c3c3ff640000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4d4d300400,a2a2a2a2a2a2a2a2,a2a2a2a2a2a2a2a2,82a2a2a2a2a2a245,880bf4c4d4d4ccf0,0000000000000000 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)