Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEA29B23A0C0862E0E9741FDEA9CB665698DA541F731D8A225FB423FBF91CED752035C |
|
CONTENT
ssdeep
|
384:A2gDLi2vLe/AvyZFLH6nxWXBMRraDoAfMmUFCoqm:A62vLe/AvyZFLH6nxcBMRrapfBUsPm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6ac4c93b958466 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
2b034d5d1d137a70 |
|
VISUAL
wHash
|
8181818181ebffff |
|
VISUAL
colorHash
|
1ee00008000 |
|
VISUAL
cropResistant
|
2b034d5d1d137a70,ec8ed9e8a9b13333,6814888a9a9a9a5a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.