Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F97261B08206983A928793F165B55B0F26F1C38AE743065DA3F9635E4BC9CC4CF872B4 |
|
CONTENT
ssdeep
|
384:MYKnNhg2KKYuJ405vHDFTRnQTUziK7Utjzte18IM3MIP1lsjsnWtmPZWEe81ZsEG:MYKnNhg2auJ405vHDFTRnQTUziK7UtjE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9974669b30c73c99 |
|
VISUAL
aHash
|
00181818183c3c00 |
|
VISUAL
dHash
|
e8f0f0f0b2f06996 |
|
VISUAL
wHash
|
3c3c3e3e3e1e3e00 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
e0c48486968ec4f0,35d4f020283092aa,0000303038080000,e8f0f0f0b2f06996 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.