Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3C150738010D81E1FABD548F6C0E1EDA5D6C21BF63088C7A294916F6EC5EF5987532D |
|
CONTENT
ssdeep
|
96:q+C7aR1sYYlnNWzCfMmORR1E8VConG1Xzikhzl:qmdYuOfMmUU8VCobw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af0bd1323ef0d03a |
|
VISUAL
aHash
|
0d3dff0000ffffff |
|
VISUAL
dHash
|
79d1815765001500 |
|
VISUAL
wHash
|
0038f80000ffffff |
|
VISUAL
colorHash
|
07001000c00 |
|
VISUAL
cropResistant
|
79d1815765001500,2151220273349c98,26669a9a5e8baaae,214c8b8f6d0dcda9 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.