Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190335C726731B8A883DF51EEE7382E49B2C6499DE8CB4550F5C9568E13C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:aA+EsZ/8CqDVRcMjBhRpMjByrpRXPZlQaQD9OehM+BrUgq4FJ:a5YRDRXrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46a956dc094 |
|
VISUAL
aHash
|
81818b8b898181ff |
|
VISUAL
dHash
|
25595b5b59495300 |
|
VISUAL
wHash
|
81898b8b8f8181ff |
|
VISUAL
colorHash
|
1bc00600000 |
|
VISUAL
cropResistant
|
25595b5b59495300,fef9e9e1e0e6e4e9,7430383c3cbc9c8d,249a9a9a9adaca12 |
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)