Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114126033A600DD6A899B56CCF6C09688411DD346FB3148C7B1A091FF7BC0CF069A979E |
|
CONTENT
ssdeep
|
96:Z0gCxaR1sYz+tny/I+LAjkHjxqMcnthWeNWbnfMmORR1E8VConF3cgKN50el:TdzjwlajxqMcnthWeNWbnfMmUU8VCoCN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f0fb5a0190ba3e3 |
|
VISUAL
aHash
|
18181818ffffffff |
|
VISUAL
dHash
|
71616970f0006100 |
|
VISUAL
wHash
|
1818001818ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
71616970f0006100,0e3713580e86881c,830411d3db737373 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.