Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2235A726732B4A843DB91DEF73C2E46B2D29889E8C74550B5C95ACE13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8wxRF4hDawhMSBYwKMSBBqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKs:aA+EsZ/8wzOhDawhMSBYwKMSBMN2/y9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f1818d8d81818181 |
|
VISUAL
dHash
|
235d5d5d49415951 |
|
VISUAL
wHash
|
ff8d8fafa1818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
235d5d5d49415951,fef9f1e1f1f3e4e1,343038383cbc9c89,23d8dad8c89088d0 |
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)