Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1314286E9412011368253CCD76AF6539A62DFC16CDD066894AFFC03E71AF6EE0640AB5F |
|
CONTENT
ssdeep
|
192:IcauBn/0v4DAMKCIlW+NF22s9eZTbznQCXczzncFaJzon7QEn+dTpHFc0y:IsB/7DuL2V9cXNa8Qe+dTQZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
817f7e5078507cf0 |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0d0d0d0d0d0d0d0 |
|
VISUAL
wHash
|
003e3e3e3f3f3e00 |
|
VISUAL
colorHash
|
0e006000001 |
|
VISUAL
cropResistant
|
80a0a0a0a0a0a0a0,e589e1c101010141 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.