Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14263763291869C139097C2D9F1709B1E3381C785C7134B6563F957BEBECECB6AE21298 |
|
CONTENT
ssdeep
|
1536:DY9miC91L1Cp11wi1u1ShIl171Q1d1ferbuSluVyeeeewyeqeMeeeeHIeeeeSCMk:RJCp3woUSheZqf/127Cv0i83EDITIINQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd3638d3c99269 |
|
VISUAL
aHash
|
3030787a48464646 |
|
VISUAL
dHash
|
6967e2d29a88988c |
|
VISUAL
wHash
|
30707e7b42464fc7 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6967e2d29a88988c,d9e8c430e7f26464,ba7934e4312f2b2a,2764e7f7e3ca6823,d7693248cccc442c,9597e328d0e0f090,9793d6c449239771 |
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.