Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D325033B600DC2A8D9B568CF1C09A48555EC349FB3148CAA1B491FF7BD4DF069AA39D |
|
CONTENT
ssdeep
|
192:hS3JAYc6bcIcN7/2dCazQafaxXS1McnthWeNWbQtYA2Y1/fMmUU8VCorG:McacIcNj24zVSVtYpYVfMmUFCorG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ee3c91ce307fc01 |
|
VISUAL
aHash
|
3f3f1f270f9f1f7f |
|
VISUAL
dHash
|
6868f0cc2c2068c0 |
|
VISUAL
wHash
|
1f070707071f1f1f |
|
VISUAL
colorHash
|
07001400048 |
|
VISUAL
cropResistant
|
6868f0cc2c2068c0,1113151113a2c67d |
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.
Pages with identical visual appearance (based on perceptual hash)