Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C234BB26722B4A843DB91DEF7382D56B2C1589DF8C74414B5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aG+EsZx8/G8I4mDawMMCBQw+MCBpwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aG+EsZ/87mDawMMCBQw+MCBpw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6239e691e03097 |
|
VISUAL
aHash
|
878187bfbf979f0f |
|
VISUAL
dHash
|
59796b6168677370 |
|
VISUAL
wHash
|
8701013fbf079f0f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
59796b6168677370 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.