Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E3755342146A2E4437C3C075759B77D1BAE98FFAA70A404EDCC7B63AEAC50B81B52C |
|
CONTENT
ssdeep
|
1536:w20NwUgQmTa3MZo+Hd1+/M0J1jjC3le/pvgItPMOhREjT:w20NwOQMzO3wh6OC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af6982a33a |
|
VISUAL
aHash
|
fd1c1c1813ffdfd9 |
|
VISUAL
dHash
|
29b4fcf1736e3b33 |
|
VISUAL
wHash
|
fd1c0c1001b7df9b |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
29b4fcf1736e3b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)