Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111A38933411975274437C6D530A55B3BE2E6C98FFAA70A010EECD7EA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
1536:rKnuLz4NP/y9svbliCdOqKZ9SFtiuCa28y2O9:2ngmA9q09x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f612cd38b969 |
|
VISUAL
aHash
|
00240000000406ff |
|
VISUAL
dHash
|
cccc48c0cccc0db2 |
|
VISUAL
wHash
|
0cfc28383c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3e3cdcdcdf3c3,09009081303080a0,dccc48d0c0cc6c0d |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)