Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DA38B33411935274437C6D430A55B3BE2A69D4FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:EcGwLz4NP/y9svbliCdliAu+FtiuCa28y2O9:HmAuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c566b53ad52ac54a |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
9c8cc6e2c8cdd398 |
|
VISUAL
wHash
|
00e7f1302404ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2204a081185880a0,940cc6e2c0c8c5f3 |
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.