Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE225333F600DD2A8D9B8688F1C49588451DD346FB3148C6B2A091FF7BC5DF0A6A979D |
|
CONTENT
ssdeep
|
192:WdSFTB6+xmxxDMcnthWeNWbnfMmUU8VCoqPp:qSF1fMmUFCoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93192c76d2c92c7 |
|
VISUAL
aHash
|
cbcf8fc3f3ffffff |
|
VISUAL
dHash
|
1a18181606180200 |
|
VISUAL
wHash
|
80808080020f0d0c |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
1a18181606180200,430b679f190e1999,d3d4d163b3f9ff81,dae2c132d0cc7070 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.