Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A234B726732B87843DB92EEF7382946B2D2589DE8C74554F5C95ACD23C3C806293BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8UZ4iDat1MiBLtyMiBxUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt0:aw+EsZ/8UaiDat1MiBLtyMiBxUXx+y9t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4ab4a5b4b4a4da |
|
VISUAL
aHash
|
fff9f999f9b1bbff |
|
VISUAL
dHash
|
2ac331333b634311 |
|
VISUAL
wHash
|
fff9000881113dff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
2ac331333b634311,630743746f17ce4d,41102032b2320c51 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)