Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6D251706410AA3711F3D2D0AB7397AEB791C284DA262B5A66E5C3CE4FC7D5CDC3211A |
|
CONTENT
ssdeep
|
768:yR4mCUfe2uY6i38j4V+BmbOfYyp7QFsKV7P0Tns4Ns:yR4Se2b6i3lIszOQATs4Ns |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9236cd6d92926cc7 |
|
VISUAL
aHash
|
00003c2e2c007e7e |
|
VISUAL
dHash
|
1cc6ecccc823ccf0 |
|
VISUAL
wHash
|
06007e7e7e007e7e |
|
VISUAL
colorHash
|
31e00000000 |
|
VISUAL
cropResistant
|
8a80dada82828082,82808278f88280a2,a485a467e5a485a4,4c1353aba9357070,1cc6ecccc823ccf0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.