Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143E134E1D404DD37475286D5FBBA6B0BB6D1C34ADF02094463F883AB5BDAC50CE1259D |
|
CONTENT
ssdeep
|
96:TkC4/OYReSTJ8v67DfLbtctGytC4XsFieXOHFAOXVX/UdYBqHST5J:Q9OYx98iHXKtGybllXu0qyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc05fcdc03 |
|
VISUAL
aHash
|
3f2f3f3f3f7fffff |
|
VISUAL
dHash
|
d4ccccd8d8c800c0 |
|
VISUAL
wHash
|
27272200003fffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d4ccccd8d8c800c0,f382b496b6b482f3,7171160800000000 |
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)