Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118C36B753588F5BB1AB302C760AB160273BD051B441E0D707355EEEF76A8C9AA077ECA |
|
CONTENT
ssdeep
|
1536:kTgbm3pD1aTASTiwwXQfb0Qvv3o2h2wV9IiBvtVPTMn56QPvuomDIDM83:kMipD1ahiwwX8VMAIGvnAPBmDIN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7326c3c358636e3 |
|
VISUAL
aHash
|
063c3c3c643c3c30 |
|
VISUAL
dHash
|
4448c868c864c0c0 |
|
VISUAL
wHash
|
06bc3e3c6c3c3c3c |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
4448c868c864c0c0 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.