Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA234A726332B4B843DB91EEF7382E45B2D2988DE8CB4554B5C95ACD13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aqH2+EsZx8/G86jeM4QHDawYMSBHwQMSBqwZqN2/y9dGDTDiJE56ITmH+LCBlvNN:aqH2+EsZ/86jeXQHDawYMSBHwQMSBqwk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf5ac0c2c672721e |
|
VISUAL
aHash
|
fc9f878fbf8f8fff |
|
VISUAL
dHash
|
49313d7961193b36 |
|
VISUAL
wHash
|
ac9f87879f818193 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
49313d7961193b36 |
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)