Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AD2F0319400991B039362F0626F370A1EEB9949D3638A68BFFDC31D1BEAD15DD3A974 |
|
CONTENT
ssdeep
|
384:xgowKj444Wuho694xd6guO+lAy2R3GUVq7ybkn9:xGKj444Lho6Ud6g7wk3BVq7ybI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c93a20a56b96b6e3 |
|
VISUAL
aHash
|
01183c3c787e7e00 |
|
VISUAL
dHash
|
13f0e870f0d4d4d0 |
|
VISUAL
wHash
|
81187e3c787e7c38 |
|
VISUAL
colorHash
|
38001030000 |
|
VISUAL
cropResistant
|
13f0e870f0d4d4d0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.