Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0330AF93999B5520B7291D3B0AF354BB33A146F790C59A0B060DEE930F8499506FF8E |
|
CONTENT
ssdeep
|
768:YyWuPWyuSL5/S/uo/9Z8n+z1TH+DbCgLz56SLIjwqqBCv1GKU+dsNWHS4FUX8U42:K0Q5yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a321d83c27db3c3c |
|
VISUAL
aHash
|
7f6767230303ffff |
|
VISUAL
dHash
|
cececece8eb6494c |
|
VISUAL
wHash
|
672303030303ffff |
|
VISUAL
colorHash
|
06c08000000 |
|
VISUAL
cropResistant
|
cececece8eb6494c,e6e6e6e6e6e783dd |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.