Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1236185A20112D9334062E5D6E2F47B2EF2C28E99ED877A2143EC67AC6BCEC55DD10166 |
|
CONTENT
ssdeep
|
96:ItnNqISZSZST5WtPJStD5hSB5jV2adpuIGN2Kf0:SQBIIW+/mUItKf0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87f80ff80000fcff |
|
VISUAL
aHash
|
bfbfff7f7fff3f3f |
|
VISUAL
dHash
|
202020808000e0e8 |
|
VISUAL
wHash
|
b0b0f070f0f03030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
202020808000e0e8,200cd0f397801000,1b65c20000000000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)