Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145635230A4049D3B01DB86D4A672576A72F98349D6230689FAF9C3ED1FEFC19DE27114 |
|
CONTENT
ssdeep
|
1536:a4444ysIxisNXH6+UF547NPwpdF1vBT1BQvurDKRGU:duuYW7NPwpdF1vBTY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2cc5fb1283fc0b |
|
VISUAL
aHash
|
0303030301ffffff |
|
VISUAL
dHash
|
7737373f3f3bc9cc |
|
VISUAL
wHash
|
0303010301ffffff |
|
VISUAL
colorHash
|
17200040080 |
|
VISUAL
cropResistant
|
77373737373f7f3f,3fb340dbcd4dd0a4,f73737373f3f3f3f |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.