Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C5339B6394872221BA340D2B16F228BB33A147F760D59A07160DAF574F84A9517BFCE |
|
CONTENT
ssdeep
|
768:oyWuPyz1uW/u/CSL/5MX9s11nUNRc5ZIS8n+WFjwqNwMQFlDqX8UMbsWNAHvEapt:PDAHvEjyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7867da05de25f20 |
|
VISUAL
aHash
|
e3e7e7e743e7c300 |
|
VISUAL
dHash
|
4f0e0d0d8e8c0f16 |
|
VISUAL
wHash
|
83e7c5e7e743c300 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4f0e0d0d8e8c0f16 |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.