Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AE2453C1340D7771A8387EDE6669BEDE1B697BFC7238B0AF2EC825956CAC407941244 |
|
CONTENT
ssdeep
|
768:DaQ7iUjZX60Vk2tzJOvJO2e9sENC8/hYlzfgLN7RcBCC:HU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef4d909292c3636b |
|
VISUAL
aHash
|
fc003110e7e7ffbf |
|
VISUAL
dHash
|
4d3363638c0c5353 |
|
VISUAL
wHash
|
f5000000e7efffb5 |
|
VISUAL
colorHash
|
072010000c0 |
|
VISUAL
cropResistant
|
4d3363638c0c5353 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)