Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13032EC7072905ABB91CBD2E1B275AB5BB2C4CB4BCA5BC701A3F983845FC7C92DD48254 |
|
CONTENT
ssdeep
|
192:5ZLZSPaLKGHnC//swsIwaocZ4J3u5uxTRWAwzDfro:vL0QHnC3swRZITJRWAwzDDo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333333cccc6664 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4d4d4d3a4c4d120a |
|
VISUAL
wHash
|
e3e3e3eb20202838 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4d4d4d3a4c4d120a,b23c9b9d8dacfd99 |
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.