Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDA3EE234159752B4437C3D030A95B3BE1A6999FFAE70A001EECCBF72BF9CA0745A519 |
|
CONTENT
ssdeep
|
1536:O0StpR4nXBKpSpFl26vISZrKA7j/wnWqRbIS/l:8UMPOLwnWwn/l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93656d1313496d6d |
|
VISUAL
aHash
|
001f033f7f0f0183 |
|
VISUAL
dHash
|
d9bf76dcdc98bb37 |
|
VISUAL
wHash
|
000f033f7f0f159f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cdcdcb9b337,d8bd37dcdc9cbb77,536b996363cc5515,4e8f9149434e4a5a,94230d3333050921 |
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)