Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172916400A085591F6AB580C8E665BEE676D0419AC3B20F046DEC676FF5C9CB2DA3335D |
|
CONTENT
ssdeep
|
96:1CPKigNMGQK+BC5qUHyhihBhahaGiBJB55UyH0NodH:1xOBChJz5Uu1H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb6b3a3635354549 |
|
VISUAL
aHash
|
0000f8ffffffffff |
|
VISUAL
dHash
|
490183ccc9c80000 |
|
VISUAL
wHash
|
000030333737ffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
499383c8c1c80000,0000800020008000,c02020402020c000,4028c0c040601000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)