Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA38933411835274437C6D530B55B3BD2A69A4FFAA70A010EECD7FA5BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:Vg50Lz4NP/y9svbliCdJfFtiuCa28y2O9:KomAWE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9267fc32e91c9469 |
|
VISUAL
aHash
|
00640000000400ff |
|
VISUAL
dHash
|
9cccccd8d98c3db2 |
|
VISUAL
wHash
|
c0fefe38440e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55699696615596,008081303000a000,94ccccd0d8dc2c73 |
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.