Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103235B726332B87843DB92DEF7382E45B2D68499E8C74554F1C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G8/YobDVSQMwBYoSTMwBYCUuix+y9dQpUDF1E56ITmHTCd3m6DPqDvO:aa+EsZ/8QoDVSQMwBhSTMwB3Uxx+y9da |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ae295c5c095 |
|
VISUAL
aHash
|
f1818f8f8f818181 |
|
VISUAL
dHash
|
03595b5b59494911 |
|
VISUAL
wHash
|
ff818f8f8fa18181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
03595b5b59494911,fef9f9e1f0e6e4e9,343038383cbc9899,219a9a9adac81aa8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)