Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1A38A33411975274437C6D530A55B3BE2A6998FFDA70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:gJuqamLz4NP/y9svbliCdEiPY+WFtiuCa28y2O9:gJuWmAGPY+V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c12c5eb966cb26c |
|
VISUAL
aHash
|
3e1c068fdfcff1fe |
|
VISUAL
dHash
|
e0f0bc3c3d1e23a2 |
|
VISUAL
wHash
|
3c18048fc7c3d1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e0f0bc3c3d1e23a2 |
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.