Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0136321E804DE5910EB57C9AAB27B6971BC9395E9501949E89FC3F043A7E6CCF334E0 |
|
CONTENT
ssdeep
|
768:UBeyII+INFFFpHQ1dSmtme4Vm856+evub:UBeyIIJFFFpy9tQemb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ef0b3d48ccaa5e4 |
|
VISUAL
aHash
|
ff00103c3a3d2400 |
|
VISUAL
dHash
|
d4d5676166eac955 |
|
VISUAL
wHash
|
ff01103c3a3f6d07 |
|
VISUAL
colorHash
|
38200000c00 |
|
VISUAL
cropResistant
|
d4d5676166eac955 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.