Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183F122E1C044DC3B535286E6F7F5275F7596C345CB020E8863FC52AA5BDBC60CA23A9A |
|
CONTENT
ssdeep
|
96:TkbyP7mohOhHW0eGHVTYt8VT8D/wvFNMe2CXMHF4e9XVH93uH8X5u/mLmDECBQPJ:QbY7mohOhHWsHGOWOr2rJXds0ufQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b43c25e2c6c6c733 |
|
VISUAL
aHash
|
e78187ffe7f71000 |
|
VISUAL
dHash
|
8e3f3b360f0f1008 |
|
VISUAL
wHash
|
c78187ffe7f70000 |
|
VISUAL
colorHash
|
07000040006 |
|
VISUAL
cropResistant
|
8e3f3b360f0f1008,8e172b3379ccdcaa,eab58a6a09959592 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.