Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3F112E1C044ED3B435396D5B7B66B0B77D1C389CF020944A3F8936F9BCACA0DA22599 |
|
CONTENT
ssdeep
|
96:Tkfo1DtSTBJ8v67GxMFmGhlzGX/CYrGhlUjqfX5CYj/FjBayRmST+R:Qfo1DcD8inmGwCyGjCKxBaiDA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6b64ccd1999191b |
|
VISUAL
aHash
|
ffe7e7e7ffff0000 |
|
VISUAL
dHash
|
a04d4d4d68000000 |
|
VISUAL
wHash
|
ffc3c3c3ff6c0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4d4c300400,a2a2a2a2a2a2a200,a2a2a2a2a2a2a200,888833c4d4ccf033,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)