Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E14AD33421935260537C6D434B95B3BD2A6DE4FFAA30B010EECD7EA2BF9C90755A11A |
|
CONTENT
ssdeep
|
1536:1tsEJPjQBq1Wixx2Thrmbr1kZDvDvt8VPB6RxknNucR0kNi:/LqZNmbpkZDvDQ6pkNi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97036c1b97c330bd |
|
VISUAL
aHash
|
00000e6f0f06ffff |
|
VISUAL
dHash
|
d9d3cccccc9c2726 |
|
VISUAL
wHash
|
00000e7f0f06ffff |
|
VISUAL
colorHash
|
02003200200 |
|
VISUAL
cropResistant
|
64ada8afabe92800,d3dccccc3c4d2626,c9ddc7ccccce9c4d |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.