Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D04D672D180743B138196D5E7B0AF38E18752A7EAC39642D5FAC34C2BC6C94CE37999 |
|
CONTENT
ssdeep
|
3072:F6fHg5KFWY7q7TQtDvIu5QLrE6X7whc9PY0:ug5KI8Iua |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d50e2a4c75ae519d |
|
VISUAL
aHash
|
00939ea6fef0ffe0 |
|
VISUAL
dHash
|
e523666e2c84a518 |
|
VISUAL
wHash
|
00119e86fef0ffe0 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
23326e2e34842708,0404048686842404,c9ab3323274b0b0f,61e060c2c38bccd8,40c010a4e4a4c4a0 |
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.