Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7326233E600DD2A499B95CCF2C4968C521ED345EB3148CAA17091FF7BC4DF169A93AD |
|
CONTENT
ssdeep
|
192:lKf5sYcDcChXOnKFTC6NxsuMcnthWeNWbxQVfMmUU8VCoJ5:qcDcChXOnKFTMHQVfMmUFCoJ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b65a4aa65a7a |
|
VISUAL
aHash
|
f8f8f8f8f8f8ffff |
|
VISUAL
dHash
|
5172f2d251010000 |
|
VISUAL
wHash
|
7818183818f8f3f2 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
5172f2d251010000,9202e23a1a3ac68a,fef879fee979feff |
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.