Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B693EC72A27B1822511FB2E4A2B48B192283DB89C7434BF6627D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:e1kglHDFhDK3jDTiDBC66eeeNIkDI7tRCVfDxDP64F/CDYuhCDSIh1f391Y2l0p0:+vK3XTMpI+Iap1b/spIh1f391d0gi6j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cc93893d3c6cc |
|
VISUAL
aHash
|
00007e6e44466e6c |
|
VISUAL
dHash
|
596be4c88888d8d8 |
|
VISUAL
wHash
|
38207e7e46466e6e |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
596be4c88888d8d8,c2574dc35d44434d,c46192e3573dad89,d0449a1c49830f0b,c2d7add2cfacd7cd,c0c35f4dd0c3574d,97c56931f1e1a0ac,c2cfadd3cdc0c7ad,c461d2e2573d6d09,4b433198d8d08c4d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)