Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F223E63B600DD2A4E9B468CF2C49648451DC349FB3148CAB1A491FF7BC5CF1A5A93AE |
|
CONTENT
ssdeep
|
192:Xi6oYdLQAaymVRxpQCxxMcnthWeNWbnfMmUU8VCoC6:XLQALJfMmUFCoC6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1b31e0623333f3 |
|
VISUAL
aHash
|
0f0f0f0fffffffff |
|
VISUAL
dHash
|
d97c79f800600000 |
|
VISUAL
wHash
|
0007040400000100 |
|
VISUAL
colorHash
|
07601008001 |
|
VISUAL
cropResistant
|
979e9ca4a9a989c8,d97c79f800600000,593921636327261f,33b23a3d9c1ec8d8,3a1a1b1a891c54c6,73672a5a5a525696 |
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.