Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2638532928658139197C2D9F1708B0E3381C785CB174B6563FD57BE7ECACB6AE2129C |
|
CONTENT
ssdeep
|
1536:esCTtXnOxARkD691T1pif13161wR4gl171P1C1bdHl+Ah3LqyeeeewyeqeMeeeeQ:6xpitlgwR4GZ9I012cuPOzus83EDITIB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3cc363193c99669 |
|
VISUAL
aHash
|
3030787a40464646 |
|
VISUAL
dHash
|
6b27e2d29a8a9a8c |
|
VISUAL
wHash
|
b1f17a7a42464b47 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6b27e2d29a8a9a8c,79f4c430e7f26464,6d64c7e54d3e294d,473338adb3b34f33,2764e7f7e3ca6823,d7693248cccc442c,77961203835261cf,9793d6c569a27171 |
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.