Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186E143E1C108DD3A032286D6FBF56B5FB691C349CF06098453F842AB9BDFC60DA1669D |
|
CONTENT
ssdeep
|
96:TkcK79oh4lzH0XfeG9Edt7tXhDwvFAe5X6HFVe1Xiz/zt7UqQPJ:QcK79oh4lzH0X19Ed3XhS8yszLSqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc66d1319794e46 |
|
VISUAL
aHash
|
00e7ffffffc3c3c3 |
|
VISUAL
dHash
|
300c0d32000f1717 |
|
VISUAL
wHash
|
00c3e7ffff818181 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e0e0432000f1717,0000020414040000,d4d4696916386968 |
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.
Pages with identical visual appearance (based on perceptual hash)