Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A38933411975274077C6D530A55B3BE2E68A8FFA970A014EECD7FA1BFACA0741B11A |
|
CONTENT
ssdeep
|
1536:kcfnLz4NP/y9svbliCdoHWbOuDMFtiuCa28y2Os:LfLmA1HWbOuDW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76b953ad128bd0a |
|
VISUAL
aHash
|
00000000000030ff |
|
VISUAL
dHash
|
c8e8c080c8c4e1d8 |
|
VISUAL
wHash
|
003c70f07c00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c00280015c5880a0,49e8c0c088c8d4e0 |
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.