Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1179256A15415953B5266CBD8B3B2B34BFB92C04ACDC6018AE0F5E36D1FE2DB1ED0E245 |
|
CONTENT
ssdeep
|
384:nYFCsTQd19wH4B7dG8eAwgSxRiyZuRvN0CIBt8:nBd19wH4B7y3/yc8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e5961645c9980 |
|
VISUAL
aHash
|
80809c92f3ffffff |
|
VISUAL
dHash
|
3338302426303c38 |
|
VISUAL
wHash
|
80809c80e2fefefe |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3338302426303c38,5d25cbc8eccc3345 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.