Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA4342B96842793FF1438BE69272636EF3924941DE67CA424BF093F89EC2D8DDE00155 |
|
CONTENT
ssdeep
|
1536:QN2heANtQKFCF2v8BvhUv1Fvylv6jvlZoYOzDZtti6C/F:PheuQwCF2v8BvhUv1Fvylv6jvl4zDZtE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0bc7f414d143f69 |
|
VISUAL
aHash
|
00ffff7e78706000 |
|
VISUAL
dHash
|
54fb3cf4c3c0c9cb |
|
VISUAL
wHash
|
00ffff7f78706000 |
|
VISUAL
colorHash
|
0f001030040 |
|
VISUAL
cropResistant
|
d57cbbbf979c7cb5,e0edcccc86f6c6c4,c0d09090906070d8,f0c098e26298c38e,01041464740408d4,bfbcd3c3e2c8c9c3 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.