Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EA37A33421935274037C6D530A56B3BD2A69A5FF9E70A010EECD7EB2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:qQ/KKzb10Lz4NP/y9svbliCdGOCoI/FtiuCa28y2O9:SmAHVk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd3290699503 |
|
VISUAL
aHash
|
00002000040028ff |
|
VISUAL
dHash
|
1c4dc3c3ec6cd3d8 |
|
VISUAL
wHash
|
c0ff71300e007cff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
d00080804c588090,1c4dcbc3c9ec24d1 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.