Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E94363AC92508532C19398EB2A31074F238CD015CA07BEE98BA4D3D76EDBE955D1B74F |
|
CONTENT
ssdeep
|
768:98dWqi7IWWJWLlkYLlD9b+NMlCLl0lEI26mknvJukKNaihs:98dWqi7IW/lnlDlal0iIbDJuDrs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e996d66992386e92 |
|
VISUAL
aHash
|
ffff81999981d9ff |
|
VISUAL
dHash
|
330e33333333334c |
|
VISUAL
wHash
|
ffe78181818181ff |
|
VISUAL
colorHash
|
06400000007 |
|
VISUAL
cropResistant
|
330e33333333334c,f0b8bc9df4e7653c,432b9babadbc2424,b272b1b9b1e9b9b1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.