Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DF31AFD13209EDD098B83F5BF24A2D8A38AE65ECB660D45D1FC875925C2CBCDD16281 |
|
CONTENT
ssdeep
|
1536:F4n4KcMoPcQeQphHzyZGT/uaYlMWFV8Bw/KMKksDH+vlYXGq1sLR4kbm76KOu97i:h21Lu/Gz/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6707ccdccccc178c |
|
VISUAL
wHash
|
01017f7f7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6707ccdccccc178c,a3a36365a5a72e2c,486aaab2a2942626,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)