Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB134A726732B87843DB91DEF7382D06B2D65889B8C74414F5C95ACE23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8H42DatMMmBztGMmBpUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:aQ+EsZ/8Y2DatMMmBztGMmBpUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e6b630b2a2a38 |
|
VISUAL
aHash
|
009f8f9f9fe7efff |
|
VISUAL
dHash
|
693c353f334d0f2b |
|
VISUAL
wHash
|
0087878783e78bef |
|
VISUAL
colorHash
|
07006000600 |
|
VISUAL
cropResistant
|
693c353f334d0f2b,000432b2b2320c10 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.