Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199234BB26722B8B843DB91EEE7382D56B2D2589DF8C74410F5C95A8D13C3C817297BB4 |
|
CONTENT
ssdeep
|
768:aO+EsZx8/G8Y4/DawXMSBOw2MSBnqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5d:aO+EsZ/8L/DawXMSBOw2MSBqN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef6fc4b03ab0904b |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d61614d41000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
16001000c00 |
|
VISUAL
cropResistant
|
4d61614d41000000,88c0094bc8a4e064,0fc0c1d1c22ac0d1 |
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.