Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0836632D2531503906BC1D9F1764B4D33528A49CB134BB977BE23BAF9CECB57622298 |
|
CONTENT
ssdeep
|
1536:vG9I8v/eeLqeeeHJ1ee1KPUgOq61eEBhQ8SbelUeeQBQOk8Q/n8pO+dHGyFDswVy:GRwPUgOq6dScZXkmRk222I2222222POR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90cf4e393093cecd |
|
VISUAL
aHash
|
7c707e4e46464646 |
|
VISUAL
dHash
|
c0a6e48c8a8a88ac |
|
VISUAL
wHash
|
7e707e4e46c24e46 |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
e8a7e28cae8d8cac,c0a6e48c8a8a88ac,099924f031372b2b,d7693248eccc442c,2725273767692b33,9792c469237171f1 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.