Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF124EFA92887277932B0BD0A0B91B6E76EB932ECB53492443FD47D10FCAC95CC49046 |
|
CONTENT
ssdeep
|
192:xoo8X0CbmHJysJFPmIBM8X0CbmHJytFfEDt6UzWID:tEsJFPmI6EtF8DoXID |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9c8a66699993636 |
|
VISUAL
aHash
|
f0f0f81818000707 |
|
VISUAL
dHash
|
038090b0320e1e1e |
|
VISUAL
wHash
|
f9f8fc1c18060f0f |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
038090b0320e1e1e |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.