Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178A3E97060840613C3039759EA747BDB32FEA27DD673211099B8C6B76FC6CB59C391AA |
|
CONTENT
ssdeep
|
768:3r44PNSi6fGQcJMHa9iz3YGQJDYL4KqcRa5DOAfctW5eg+ThaJZ/VaGs6lFE6AhF:b44MdKegUheVaMyD0L/4muCmNuef |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97b7b47068484bcb |
|
VISUAL
aHash
|
068f3f3000003e00 |
|
VISUAL
dHash
|
3c7c646456c0ece8 |
|
VISUAL
wHash
|
0f9f3f3f22003e15 |
|
VISUAL
colorHash
|
00e00000000 |
|
VISUAL
cropResistant
|
dadadadadbdbd336,3c7c646456c0ece8 |
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 134 techniques to evade detection by security scanners and make reverse engineering more difficult.