Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178524661903D0507A15B09F9FDFB7F8E48C2A9CDC7468364E394621A95CBCE1A7B03B9 |
|
CONTENT
ssdeep
|
384:vdoBod0kSJTxDjrPpMmRsnqlYdwH2PoGAYCF:vdoBXkSJFXGodiwH2AGAYy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3331999666666cc |
|
VISUAL
aHash
|
e7efe7e7ff3c3c00 |
|
VISUAL
dHash
|
4c5a4d4c30786002 |
|
VISUAL
wHash
|
272f07072c3c3c00 |
|
VISUAL
colorHash
|
070000021c0 |
|
VISUAL
cropResistant
|
4c5a4d4c30786002 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.