Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17602EDE0C015FE3B436785D9A7B66B0B77D1C349CF02094493F883AB5BCAC90DA2299D |
|
CONTENT
ssdeep
|
96:Tkf81DtSTBEWhUSPRr8v67T8hSFWGhlliXlCYrGhldr2XYCYrGhljOX+CYj/J2Di:Qf81DcVB8iJWGYCyGpLCyGhCKwJ7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6b64ccd19991999 |
|
VISUAL
aHash
|
ffe7e7e7ffffff00 |
|
VISUAL
dHash
|
a24d4d4c08204400 |
|
VISUAL
wHash
|
ffc7c3c3ff002c00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4d4d200400,82a2a2a2a2a28201,82a2a2a2a2a28201,82a2a2a2a2a28201,888bf4c4c4d4ccf0,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)