Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C3394706081773F21D3C3E677A51B5FA1E6C359C7271E1A93F887A80BE6CA1EC52258 |
|
CONTENT
ssdeep
|
768:O0ax4QkVfZSXXeF1YSHeROj7t8aqgTExy3WlEVx8JBSBvB5J:E4Qko3W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccf69b66c432f124 |
|
VISUAL
aHash
|
3c3c18001818183c |
|
VISUAL
dHash
|
e871b261b0d031f1 |
|
VISUAL
wHash
|
ff3c18183c383d3c |
|
VISUAL
colorHash
|
38000200018 |
|
VISUAL
cropResistant
|
33b2cc2b2bcaca8e,e871b261b0d031f1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.