Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6B39933421835274437C6D530A55B3BE2A6D94FFAA70A014EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:GSky5NNPjG17Lz4NP3+mZY9svblTOCVraoJ75i7OKeH/FtiuCa28y2OZL:dSLz4NP/y9svbliCdRQsFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc3aad63c34c |
|
VISUAL
aHash
|
00006020000024ff |
|
VISUAL
dHash
|
808ccccac8ccc4d8 |
|
VISUAL
wHash
|
00e4f4707004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,908ccccacac8ccc4 |
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.