Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED42772021085E7EF087C6E4E391B77A61E9C385C60B924DE1B843F95BC7CA4DD67AE4 |
|
CONTENT
ssdeep
|
192:aZhGO5OH5O1lg/3FqvQkTO3FOrfODfN62dcOrkyQctyROVloh34y+O4D/4WOOMuT:8xtgRVUyUIR/sImyz3aM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2334a4e9bccce19 |
|
VISUAL
aHash
|
81c3c3ffcff3c3ef |
|
VISUAL
dHash
|
298e0e081806961a |
|
VISUAL
wHash
|
00c3c3e7cfc3c3c3 |
|
VISUAL
colorHash
|
07000038080 |
|
VISUAL
cropResistant
|
298e0e081806961a |
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)