Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA27374F1685C3E109F87F4E3B17712639AD259E852028CE3FDC7682B93CA9DA171A1 |
|
CONTENT
ssdeep
|
384:Qyeu+7SAbWC9Ub1e83qKWWvvROq0htM08UVzduK:QruiVU1uzIJOq0Xp8+zdT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38e669b30999966 |
|
VISUAL
aHash
|
e7e7e7cfefefc3c3 |
|
VISUAL
dHash
|
080c0e1e1e1a0e0e |
|
VISUAL
wHash
|
27270303c3c3c3c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080c0e1e1e1a0e0e |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.