Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFE156B29458A93226A2D3DDFAF06B1DF7D28789C9420985D2E4C34E1BC7EB2DD42214 |
|
CONTENT
ssdeep
|
96:k1LbPzICvjdhtZBXIN0Zhvfih4qBJhhBK11Vzl+0BvlP1w5VgmhMDHvpHhtLY:k1blHtZK4qBJhhBK11Vh+lMHpM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bcecc3331cc3133 |
|
VISUAL
aHash
|
3c3c3c3c44043818 |
|
VISUAL
dHash
|
6161696199996060 |
|
VISUAL
wHash
|
3c3c3c3c04043c3c |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
6161696199996060,c0002820c0308088 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)