Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182A3BE61B10316BF21A38AD8F4703ECBA1E2EB19C25F544625FC52191FCBDF568763A8 |
|
CONTENT
ssdeep
|
768:kQjAL/UVkDrIrGJdgNV03YKYeZ5aySeP5UTYtGY5k7X2nSOH9xTs9xIrBESksIYn:kjzUZIpiQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cba6679d9c2cc64 |
|
VISUAL
aHash
|
00053d3c38180030 |
|
VISUAL
dHash
|
294d617972b2c4e0 |
|
VISUAL
wHash
|
810f3f3f3c3c7070 |
|
VISUAL
colorHash
|
38000400218 |
|
VISUAL
cropResistant
|
00100c32b2b20c10,294d617972b2c4e0 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.