Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2A38A33411939274437C6D130A55B3BE2A6DA5FF9A70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:T6MLz4NP/y9svbliCdh45fwFtiuCa28y2O9:DmAI45fz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c12c5efb269926c |
|
VISUAL
aHash
|
3e1c0ecfcffbf1fe |
|
VISUAL
dHash
|
e8f4bc1c1d3623bc |
|
VISUAL
wHash
|
3c100c87c7c3f1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e8f4bc1c1d3623bc |
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.