Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AF386630114692E4437C3D4B5B59B36D1BAD98BFAA70A414FDCC3B67AEEC50B81B12C |
|
CONTENT
ssdeep
|
1536:cgKxzCUgQmTa3MZo+Hd1+GM0N1jjC3lerVUTskWY1abVKsRO4utO9wc:qxzCOQhza3YUeVK1nc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac9be69b6c83b260 |
|
VISUAL
aHash
|
fd9c0c1c11fff7f3 |
|
VISUAL
dHash
|
4930bcf5333a2527 |
|
VISUAL
wHash
|
fd0c0c0c019ff3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
4930bcf5333a2527 |
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)