Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16163827651866B3B249382D1831CD36BD3C6D249C7A7CB4ADBE8836B62C7EE0DD35064 |
|
CONTENT
ssdeep
|
1536:JDGRt0Fzh6qETyDcUA+09CtFwsehxAxcEb87Gg0iHGicWBoshNgWoyd8Z01/M1xW:JDGEFP09CtKhycA87GHiHGfWBfNglydL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a1bc356cb6d3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
96d38b131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456ba922b2b46,38789d9c8c8c8d8f,2b29dd35b79e1616,82a28a969696a882,c53a382327400f0e,968fb3c9832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)