Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2536323B2D4E9160CCB14BFF3A57B5A2905420EF731C9DA62EA566F66CCCE95110BCC |
|
CONTENT
ssdeep
|
1536:FsZm7Ug5Gm0m/mNmWEEnYwLx2X2bLcO75BlBB2bkhvBNZ:uZgb8PQS39nYYjNZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91916a666e36b26d |
|
VISUAL
aHash
|
004f0f0e006e00f9 |
|
VISUAL
dHash
|
989a981ccacaa2a3 |
|
VISUAL
wHash
|
00ef4f0f24fe00fb |
|
VISUAL
colorHash
|
31c01000000 |
|
VISUAL
cropResistant
|
0000000000020400,60c4c48484828281,989a981ccacaa2a3 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.