Song-Li cross_browser up to ca690f0fe6954fd9bcda36d071b68ed8682a786a details Endpoint uniquemachine_app.py ID sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 3.75- |
Summary
A vulnerability classified as critical has been found in Song-Li cross_browser up to ca690f0fe6954fd9bcda36d071b68ed8682a786a. This vulnerability affects unknown code of the file flask/uniquemachine_app.py of the component details Endpoint. Performing a manipulation of the argument ID results in sql injection. This vulnerability is reported as CVE-2026-5577. The attack is possible to be carried out remotely. Moreover, an exploit is present. This product adopts a rolling release strategy to maintain continuous delivery. Therefore, version details for affected or updated releases cannot be specified. The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability classified as critical has been found in Song-Li cross_browser up to ca690f0fe6954fd9bcda36d071b68ed8682a786a. This affects some unknown processing of the file flask/uniquemachine_app.py of the component details Endpoint. The manipulation of the argument ID with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-5577. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is shared for download at github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
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
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
04/04/2026 Advisory disclosed04/04/2026 VulDB entry created
04/04/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2026-5577 (🔒)
GCVE (CVE): GCVE-0-2026-5577
GCVE (VulDB): GCVE-100-355347
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/04/2026 16:55Changes: 04/04/2026 16:55 (58)
Complete: 🔍
Submitter: BigW
Cache ID: 216:98C:103
Submit
Accepted
- Submit #783502: Song-Li cross_browser ca690f0fe6954fd9bcda36d071b68ed8682a786a SQL Injection (by BigW)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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