Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B841527214159D7B11C3E9D4DBE06D4B72CBCB42DB67064996F8936E0DE0D91CC114A4 |
|
CONTENT
ssdeep
|
24:hR+7iDYxXbo6SHguXOuXK/IUZfpp5e6UwpYHXxjPPtONT7S8BtXgcVTRk2NfNj5j:TBYBo6HPpI0fT5DUARdJA2Fg4DJz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2674d9cc8ad9 |
|
VISUAL
aHash
|
00003c3c3c180000 |
|
VISUAL
dHash
|
36c57171717106aa |
|
VISUAL
wHash
|
10307dfffc3e0268 |
|
VISUAL
colorHash
|
0e007010000 |
|
VISUAL
cropResistant
|
cc8e8ee8c0407155,36c57171717106aa |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)