Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102C16862D201609D4E700190BAE1779E932790C6FBB04C6975FD4F9DA7C1FA2D0B72B9 |
|
CONTENT
ssdeep
|
96:d5Bx0sF+u3FEcmw9kHFekeZeEcGFTQ+ja+PMcvv:d570sFl3F1xaC4GFTxjjl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e64f470797961643 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
6413910c189e1616 |
|
VISUAL
wHash
|
000000ffefffc3c7 |
|
VISUAL
colorHash
|
06402010000 |
|
VISUAL
cropResistant
|
6413910c189e1616,3f3f1ddfcf8a9291,38389549cdada1b1 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.