Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BD2B632E000373F824793D9F721FB2EA6D79289EB4A090693F9835E57D7E50D91391A |
|
CONTENT
ssdeep
|
768:0DSky5NciTngl/RHmiEnpfS78vHO/7sOy2+y9BH4cLIe:NOGvRTW/7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362f83a9d6c9c88 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ccccccacc0c8300 |
|
VISUAL
wHash
|
00ecfc600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc8cacc0c40 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.