joyqi hyper-down Markdown Parser href cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in joyqi hyper-down. The impacted element is an unknown function of the component Markdown Parser. Performing a manipulation of the argument href results in cross site scripting. This vulnerability is reported as CVE-2022-25849. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in joyqi hyper-down (the affected version is unknown). It has been classified as problematic. This affects an unknown code of the component Markdown Parser. The manipulation of the argument href with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:
The package joyqi/hyper-down from 0.0.0 are vulnerable to Cross-site Scripting (XSS) because the module of parse markdown does not filter the href attribute very well.
The weakness was disclosed 10/26/2022 as SNYK-PHP-JOYQIHYPERDOWN-2953544. It is possible to read the advisory at security.snyk.io. This vulnerability is uniquely identified as CVE-2022-25849 since 02/24/2022. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CNA Base Score: 5.4
CNA Vector (Snyk): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
02/24/2022 🔍10/26/2022 🔍
10/26/2022 🔍
05/10/2025 🔍
Sources
Advisory: SNYK-PHP-JOYQIHYPERDOWN-2953544Status: Not defined
CVE: CVE-2022-25849 (🔍)
GCVE (CVE): GCVE-0-2022-25849
GCVE (VulDB): GCVE-100-212307
Entry
Created: 10/26/2022 15:13Updated: 05/10/2025 05:16
Changes: 10/26/2022 15:13 (49), 11/25/2022 13:14 (12), 05/10/2025 05:16 (15)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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