Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA4395727C036D22715F42CFA11B270D51C1D7C9DA13A6E5E6F0C32C9BF6DA1BAA2258 |
|
CONTENT
ssdeep
|
384:QEC++eRrotZ5plnK96j/W82ZOdWjGwemJVsMG8jfi4uGC:hBRrotZ5plK96j/D2swjt7G7vf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1f47606070670f |
|
VISUAL
aHash
|
00bfbfdfffffffff |
|
VISUAL
dHash
|
cc60689535243004 |
|
VISUAL
wHash
|
001f1f0011d3dfff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
7068313565343004,4034424c4c424000 |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.