Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C234B72A332B87843DBA2DEF7392946B2D6549DE8C74554F1C95ACD23C3C806287BB4 |
|
CONTENT
ssdeep
|
768:ao+EsZx8/G8QnsDVSaMDBKoSyMDBKk3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDvB:ao+EsZ/8QsDVSaMDB3SyMDBR3UXx+y9P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ae295c5c491 |
|
VISUAL
aHash
|
f1818f8f8f818181 |
|
VISUAL
dHash
|
03595b5b59494911 |
|
VISUAL
wHash
|
ff818f8f8fa18181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
03595b5b59494911,fef9f1e1f1e6e4e1,343038383cbc9899,219a9a9adac81ab8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain