Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9F2E962300D2B3B06A346D7A535B75AB39291C7C3431E95A2FEC38D5BE5D61DE2308D |
|
CONTENT
ssdeep
|
768:qbAznGHZ+IF00V9THC8J3txsm/SXtGkDKq0kJPrKJg/7SiLxfE13zh:utzF00V9THCQHsm/SXtG0zRFf+l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84706ab738979eb4 |
|
VISUAL
aHash
|
00003e3e3e3e3e30 |
|
VISUAL
dHash
|
a480e8e0e0e4e4e0 |
|
VISUAL
wHash
|
42407e3e3e3e3e38 |
|
VISUAL
colorHash
|
3a200038000 |
|
VISUAL
cropResistant
|
a480e8e0e0e4e4e0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.