Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D6334714182BA3F104383998314DB6DE38AD609CB6799DAD7E8432B77C7DF1DD2A0A4 |
|
CONTENT
ssdeep
|
768:L3/LZhZJdJBVmZp2JNFT5W21VNFllVi0fZhZJdJBVmZp2JNFT5W21VNFllVi0Iyc:z/Yyptq6ceVN0OoWq230uMn0UxtSu8q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84086be366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383139033270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d5d5d99898,2424ccdbb5af2e54,38789d9c8c8c8d8f,a6694db6a614564d,82a09e969686a082,c512302727000f0c,8ccbe1d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)