Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1385331706445EE3B40CB55E6927A5726A3F08349C7270688BAF9C7EE1FDBC28DA33154 |
|
CONTENT
ssdeep
|
1536:/sIxwnyv2EKidz4H1jEI2WVkF6ns5dfyqAOTHPRqZRrgHo+XQQ79F:/t3RroaQQ7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec3d9076837b |
|
VISUAL
aHash
|
00000c0e0c00c0ff |
|
VISUAL
dHash
|
dcfbd9dc58790780 |
|
VISUAL
wHash
|
07000c0f3f87c7ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
f0c0d8f8b9b2c4f1,d8597d5f5b0fc1e0,dcfbd9dc58791f80 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.