Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3235BB26722B4B843DB91EEE7383D55B2D2589DF8CB4414F5C95A8D23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G8y48DawZM2BHwdM2BOCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:aU+EsZ/8F8DawZM2BHwdM2BjN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6f6b2e3c81c194 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7171001f251d3511 |
|
VISUAL
wHash
|
0000c3839fcfcfdf |
|
VISUAL
colorHash
|
0e003000180 |
|
VISUAL
cropResistant
|
7171001f251d3511,104cb2b20c30300c |
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.