Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141E2A531A110363F0193C2D9B352A72FA2A7C349D74A059592FDC3BE0BA3D54DE3366A |
|
CONTENT
ssdeep
|
768:qS5y5NQ71YVQd6G7PKjJL2LpidhKcEOUu94RW3qds4uRfc/JfsjZwRVCtgCJz8Sb:phYVQd6G7PKjJL2LpidhKcEOUu94RW3l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed12996d9287 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
090d4b4bcd4cf300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
fefeff9f9efffffe,0080800078908000,090d4d4b5bcdcce3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)