Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C234A726332B8B883DB91EDF7382E46B2D2959DF8C74590B5C95A8D23C3C8161937B4 |
|
CONTENT
ssdeep
|
768:aV+EsZx8/G8l3Tc5nWJtz5BwrNiRF4uDawhMJBIwCMJBEwZUcix+y9dQpUDF1E59:aV+EsZ/8l3Tc5nWJtz5BwrNkOuDawhMV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3a42c0c3c73b3a |
|
VISUAL
aHash
|
a08f87bf8f9fffff |
|
VISUAL
dHash
|
4d3d3d6139372737 |
|
VISUAL
wHash
|
009f878f8193bf93 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
4d3d3d6139372737 |
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)