Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C53FAEA38557016076280D3A0BB2B4AB339182FB91C55E1B074CBE572F88F5606BF4F |
|
CONTENT
ssdeep
|
768:UyWuPWyuSL5/S/uo/9Z8n+z1TH+DbCgLz56SLIjwqqBCv1GKU+dsNWHS4FUX8U3U:s8WaryOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cc31ccc731cf2c |
|
VISUAL
aHash
|
cbcfefe7f7cfc7c7 |
|
VISUAL
dHash
|
169e1e1e061a9e9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c7c2 |
|
VISUAL
colorHash
|
07c00000200 |
|
VISUAL
cropResistant
|
169e1e1e061a9e9e,9f6bf4d6544e46c6 |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.