Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5A33DA03665F56B26B303F760DB2203B279562BD40F4D307354ECEA77ACC9A9067B85 |
|
CONTENT
ssdeep
|
1536:dXRRp4vSITVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:cTjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e513ecad6d24921e |
|
VISUAL
aHash
|
00000c00f0fff3f3 |
|
VISUAL
dHash
|
044848c802002626 |
|
VISUAL
wHash
|
00002c20fffff3f3 |
|
VISUAL
colorHash
|
03001000180 |
|
VISUAL
cropResistant
|
063c74f4f47c3c1f,0cada5c9d48ca484,c0c080baa2b480c0,0222116626262626,d40000c8485cc000,62cd4d7d6c496233 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.