Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BE3855302146A2E4437C3D075759B77D1BAD98FFAA70A404EDCC7B63AEAC50B81B52C |
|
CONTENT
ssdeep
|
1536:4KWqwUgQmTa3MZo+Hd1+/M0J1jjC3legtfjRRvsNCSe9RgAhn:4KWqwOQMzO3rNFIeN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af6982a33a |
|
VISUAL
aHash
|
fd1c1c1813ffdfd9 |
|
VISUAL
dHash
|
21b4bcf1736e3b33 |
|
VISUAL
wHash
|
fd1c1c0001bfdf8b |
|
VISUAL
colorHash
|
070001c0002 |
|
VISUAL
cropResistant
|
21b4bcf1736e3b33 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)