Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D5174B3A0008C1A1E62CDF5EDD5F30CDA138999C64A1AC4D2E8936E3AC4FB0C4522DC |
|
CONTENT
ssdeep
|
48:nHRYv7lZ1ZaIa4jAje4pSRa4jcTluMhdxcitC4QIGC2kjut7yX:HRov/K9LcMhXtiIPrj9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a222230d5d5d5d77 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
904d080000000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
900d080000000000,0000000000000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)