Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142A37833411935274437C6D530A55B3BD2A69A8FFEE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:vYLz4NP/y9svbliCdBYmkFtiuCa28y2O9:OmAu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bd6dc5469333 |
|
VISUAL
aHash
|
00000430200024ff |
|
VISUAL
dHash
|
ccccccccc0c8c8bc |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0c03a081303080a0,ccc2ccc8c4d8c0c8 |
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.