Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F835733421935274537C2D520A95B3BE2969E5FFAE70B010EECD7F72BEACA0745A019 |
|
CONTENT
ssdeep
|
768:H9W4xZ/DMTk9PhwfjTOIhIEBa4MuVi5fM:PZwTk9PSGIhIEBa4Muoe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db99646633998c66 |
|
VISUAL
aHash
|
f8e0f8f8e0f08080 |
|
VISUAL
dHash
|
0000303248281000 |
|
VISUAL
wHash
|
fcf8f8f8e0d8c0c0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000303248281000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.