Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CA38B33411935274437C6D530A95B3BD2A69D4FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:sODLz4NP/y9svbliCdZWCFtiuCa28y2O9:DmAsWB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763b53add28c44a |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
1cccc6e2c9cdf398 |
|
VISUAL
wHash
|
00e7f2302024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2004a081185880a0,14ccc6e2c0c9cdf3 |
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.