Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2D46CF4A391B6BB419397F0B024A349F22B913BEA17C58CE3D8CBD47BD9C5D88115A4 |
|
CONTENT
ssdeep
|
3072:0J/UHPuFT1ZIiz7yKKHs4BOapugVmNknst77tM87bgU0q9STmjyVT5M/G7sagIpy:0J/UH9/BvTiq87MU0q9STmjyl5M/Gjo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912cee51d8de5307 |
|
VISUAL
aHash
|
ff8300000000ffff |
|
VISUAL
dHash
|
331f7911d0d80908 |
|
VISUAL
wHash
|
ffc70000002cffff |
|
VISUAL
colorHash
|
0e006000080 |
|
VISUAL
cropResistant
|
0000203220031313,88264a0908000008,004021d4d4c42200,137c7939d4d0d8d8 |
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 66 techniques to evade detection by security scanners and make reverse engineering more difficult.