Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C4286B0222266BB06D382F1F721BF69F2EADB4EC6539685A1FC82747F99C01DC11751 |
|
CONTENT
ssdeep
|
192:wu159w56M2Z7nT5Ys7Zbx8oZnZyKXZJ39XGlj2gSifByQZQOeID:wiXVM2dTPbnhGljprfByQCID |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de2434b3ce93316c |
|
VISUAL
aHash
|
0200183c3c0c0000 |
|
VISUAL
dHash
|
c4e4d06961784864 |
|
VISUAL
wHash
|
461c787cfcbea430 |
|
VISUAL
colorHash
|
38000008006 |
|
VISUAL
cropResistant
|
c4e4d06961784864 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.