Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12153EAF93894B456077290D3A0BF3A4AB339182FB91C5591B074CBE571B84E9606BF8F |
|
CONTENT
ssdeep
|
1536:chuzsZ2myCHMcnZjbhhY2cyOloQzZs8oWQbp:GHjc9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b171618f8b9bb2c2 |
|
VISUAL
aHash
|
c3c3c3c37fffffff |
|
VISUAL
dHash
|
9e969e1ff5dfcbe1 |
|
VISUAL
wHash
|
c3c3c301073f273f |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
9e969e1ff5dfcbe1,6b2fc8c0c06060b0,0c4e34b5b536262c |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.