Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C917670D0448E33C243D4C8B3D1AE077286C2A3C94F070992E5979F4EEBE95CE2AA59 |
|
CONTENT
ssdeep
|
96:XCTuOb9y6N471CpLf/ncz56NrpYoYTJ8kJol:Sb9i1C5fvcz2lG8Ool |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966339999cc33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
000038383c3c3c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
304cb2b2b2b20c30 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)