Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DA37733411835274437C6D530A95B3BD2E6995FFAE70A010EECD7FA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:hr7LLz4NP/y9svbliCdhsq+2WFtiuCa28y2O9:BHmA0FDV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3418d32bd28b66d |
|
VISUAL
aHash
|
00200000000400ff |
|
VISUAL
dHash
|
dcc0c2c0ccccc398 |
|
VISUAL
wHash
|
067c3060440effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
c81288811c588090,dcc0c2c0c8cccc83 |
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.