Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F334A32A72679B843DB41DEF73C6A56B2D2889CE4C74554B5C8868D23C3CC26297BF4 |
|
CONTENT
ssdeep
|
1536:aI+EsZ/8WyyVDD+RDawFMSBMw/MSBIN2/y9dGXDiJZBlvy40hxwfwH:ahcy5+AwUweN2aDSw0Ea |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3a91e4c4c169a5 |
|
VISUAL
aHash
|
ff8181818181ffff |
|
VISUAL
dHash
|
5d79713155155b5d |
|
VISUAL
wHash
|
fd8101818181ffff |
|
VISUAL
colorHash
|
0f610000000 |
|
VISUAL
cropResistant
|
5d79713155155b5d,62eac6d6e4bcf97a,8bc370be69f1baaa,a2b28e331396a2a2,a2a2cc6b3355a2a2,001f0d1d1d0dbf80,bc3cbbf17136d616 |
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.