Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C92D5319061DE73406B8AD5F7E88B1A62E6D249CD02064693ED83FE0BFFC94FE25941 |
|
CONTENT
ssdeep
|
192:E4gxr36WPIY5WlX9LnZvPzPTK43/VEhmw2pPRflUBI3III5dwx8ILV0MduUDhUC1:QxeWklX9ZvPJwyZflPIII5qijUDh2Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d6d386d4c53 |
|
VISUAL
aHash
|
006e7e6e0e040000 |
|
VISUAL
dHash
|
8cccccccccccc0cc |
|
VISUAL
wHash
|
42fffefe6e042004 |
|
VISUAL
colorHash
|
0a0030000c0 |
|
VISUAL
cropResistant
|
4c64c6727a5e5f6a,381a8a662da93139,5652c99111312151,6d48f2a46c646848,4a596b535456d480,8cccccccccccc0cc |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.