Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A626436B15C2224215734E2F0F633A6FB2711BE7F9604A078B6C619D6EC35FA0729A5 |
|
CONTENT
ssdeep
|
192:F3CeDJ5Zs08tE5EGElcpmHXW+tbBoOB7Yw39sH6L/u:F3CeDJns08tE5EGEepuvtbCPw39saLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a16dcf9bcf243124 |
|
VISUAL
aHash
|
fbffc3c3ffdfffff |
|
VISUAL
dHash
|
12429696909ab40c |
|
VISUAL
wHash
|
c3ffc0c0000cdfe7 |
|
VISUAL
colorHash
|
07000c00040 |
|
VISUAL
cropResistant
|
12429696909ab40c,004384a0238ea008 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.