Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C234C726731B8A883DB52EEEB382D59B6C5449DF8CB4410F5C996CD23C7C912287BB4 |
|
CONTENT
ssdeep
|
1536:an+EsZ/8RDVRWMjBaRNMjBrDrpRXPZlQaQD9OehM+BrUgq4z:aYAR+RsDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96996b638186e69 |
|
VISUAL
aHash
|
85f9f99991b3ffff |
|
VISUAL
dHash
|
6d53133323631924 |
|
VISUAL
wHash
|
00f981818193ffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
6d53133323631924,6b0703746f378f4d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)