Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D212B967B20826280E93429D9BC157ECB327C2EDF63057C175D9C02D6B829E496F33C6 |
|
CONTENT
ssdeep
|
192:nHPEI+P+4kje2JNyk0k++ow0fMmUU8VCoOJ:nvEO4mykO80fMmUFCoOJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8103ff3b3938392b |
|
VISUAL
aHash
|
013f3f1f3f3fffff |
|
VISUAL
dHash
|
dfe0faf0e0f00080 |
|
VISUAL
wHash
|
000b1f0f001ffffe |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
dfe0faf0e0f00080 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.