Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1C36CF23B5CA4661AF71297909F2007B335502B540D5E20B395ECBE63ACC9A6067FDE |
|
CONTENT
ssdeep
|
1536:ru8fN7S9pc1aTPNQj1XQAqgD9d2hrVBOUlNtbPTMnPSkpJuAt3GpgL8Gy:tp16vwDShzOsN5qpht3Ny |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce4e1999b9643627 |
|
VISUAL
aHash
|
181800b9bdbdbd99 |
|
VISUAL
dHash
|
71696969696b6169 |
|
VISUAL
wHash
|
181881b9bdbdbd89 |
|
VISUAL
colorHash
|
06001e00000 |
|
VISUAL
cropResistant
|
71696969696b6169,0f0b0b0b0b0b1b0b,072f2f2f2f070727,2c1d3f3b93333715 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.