Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDA37A33411835274437C6D530B55B3BE2A6D99FF9A70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:OMg5Lz4NP/y9svbliCdKEpV/FtiuCa28y2O9:imADEpVk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c12c5ee926d926d |
|
VISUAL
aHash
|
3e1c0e8fcfdff1fe |
|
VISUAL
dHash
|
f0f4bc3c3d3c2382 |
|
VISUAL
wHash
|
3e18008fc7c7c1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
f0f4bc3c3d3c2382 |
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.