Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101737331A941AD3B018B9AC4A672577972B94385C6130688FAF583F95FDFC6EDE33048 |
|
CONTENT
ssdeep
|
768:RsIx/jcE3gLbpSMYu8BJfoNAhzUVq+DnmnaUf7oGoH+K0Pm:RsIxInnpSFo2UVpDmnF7oWm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e79ee08bf8a0b4 |
|
VISUAL
aHash
|
ff2060202060fe3f |
|
VISUAL
dHash
|
c9c4d4d0d084b0f0 |
|
VISUAL
wHash
|
ff3424282070fe3f |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
0000800080a04080,c9c4d4d0d484b8f2 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.