Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191A39C33411935274037C6D530A95B3BD2A69A5FFAA70A010EECD7FB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:RhOLz4NP/y9svbliCdpJPkyFtiuCa28y2O9:cmAWC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362f53ad528d52a |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
1cc4c6c2c9cdb398 |
|
VISUAL
wHash
|
00fff1200005ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2004a081185880a0,1eccc6c2c2c9cdf3 |
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.