Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130A3BC234269251B4437C2D0347A5B3BD1E6899FFEE70E410EDCCBEB6AFAC90745A119 |
|
CONTENT
ssdeep
|
768:GXtpR4nXF6YjOpSpFlTC6rrSXiraFjvjjIEabgyX:GXtpR4nXBKpSpFl26vUNjvjDabgyX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d212ad6d399253c7 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
06e4c9c9c8802636 |
|
VISUAL
wHash
|
00343c7c6440ffff |
|
VISUAL
colorHash
|
32007000000 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,80d82426a616163c,0284ecc9c9c88880 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)