Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5224F23B600CD2A8DAB56CCF6C09589402DC346FB3148CAB1A491FF7BC4DF1699979D |
|
CONTENT
ssdeep
|
192:W1tvt663Jod/ziBk93x9McnthWeNWbZfMmUU8VCoPdF1gLbu:RH/zieQfMmUFCoy6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0f00f1fe0f0eaf0 |
|
VISUAL
aHash
|
00c0e0e0c0000001 |
|
VISUAL
dHash
|
6090909090618001 |
|
VISUAL
wHash
|
f0f0f0f0f0f03333 |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
626262e2a2803373,6090909090618001 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.