Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13891F330A424D53E229B0CE9A8752B9975FB830DDD530480FAFC47E947EED89CA23532 |
|
CONTENT
ssdeep
|
48:TPskH2yuymymT8XExN8M6lUDQMN7naRNYMD8Ua4VKBWfTQMHjMHhDvf870qbHJDP:TPNWr/T8UYM6mVI39DOd2s3c0yUM95 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec99c7649231659b |
|
VISUAL
aHash
|
fffbc9cffff3c3ff |
|
VISUAL
dHash
|
0422521939660618 |
|
VISUAL
wHash
|
3703030fdcf0c0e4 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0422521939660618 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.