Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A38A33411935274437C6D530A65B3BE2A7994FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:z0Lz4NP/y9svbliCd0TB61FtiuCa28y2O9:emA7N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aed2ac722 |
|
VISUAL
aHash
|
00002000000004ff |
|
VISUAL
dHash
|
d08cc8c2c8cccc88 |
|
VISUAL
wHash
|
0064fc70302cfeff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,d08cccc2cac8dccc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.