Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150921431C141ACE7C1A246C1F536C75625C682CAEB431E9083F84B9EFA9AD71D83F6D9 |
|
CONTENT
ssdeep
|
96:TBXYZkr48wnywYySA5ewiX3meKbeJZu640sXkI2vxYX1811zwYEIUXv4Ic0BIxwl:FayfAreMePxI2vxo1e1zmIdIhIPQC1C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98d9673298cd7236 |
|
VISUAL
aHash
|
1800181818000000 |
|
VISUAL
dHash
|
122ab2b2b0093620 |
|
VISUAL
wHash
|
183c3c3c3c3c1038 |
|
VISUAL
colorHash
|
38600018000 |
|
VISUAL
cropResistant
|
2216963622303232,122ab2b2b0093620 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)