SQL Injection Vulnerability in ZTE SmartLife App
Noroxi assessment
Priority: Monitor (action score 15/100)
- The sources we track (CISA KEV, Exploit-DB, Metasploit, Nuclei, GitHub) show no public exploit code or exploitation in the wild.
- Probability of exploitation in the next 30 days: 0.20% (FIRST EPSS).
- Physical access to the device is required. A low-privileged account is enough. A user must open a link or visit a page. Special conditions such as timing or configuration are required.
- According to the record, no fixed version is available yet.
Low priority for now. Update when a fix is released; follow the vendor's advisory.
Generated automatically from the record's data: CVSS (NVD and CNA), CISA KEV and SSVC, FIRST EPSS, exploit sources, fixed versions. How we calculate it
Primary sources: NVD · CVE.org · FIRST EPSS
The ZTE Smart Life app contains an SQL injection vulnerability that allows attackers to execute UNION SELECT statements to query sensitive data in the feedback.db database across tables, including user accounts, phone numbers, feedback content, and local debug log paths, thereby enabling the theft of local privacy data.
- Published
- Aug 5, 2026
- Updated
- Aug 26, 2026
- EPSS
- 0.2% · 9th percentile
- CWE
- CWE-89
Report tools
Action score
15
Monitor
Low priority for now.
- CVSS
- 15 / 40 · 3.9 / 10
- CISA KEV
- 0 / 30 · Not listed
- EPSS
- 0 / 30 · 0.2%
CISA SSVC decision
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
Vulnrichment: CISA's decision-tree inputs.
CNA vs NVD score
- NVD
- —
- CNA · zte
- 3.9
- NVD has not scored this yet; the score shown is the CNA’s.
The score given by the assigning authority versus NVD’s independent score. A gap means the severity is contested.
Get told when this record changes
- Not in KEV: no record of exploitation in the wild
- No public exploit code on record
- No fixed version yet
If any of these changes, we'll tell you in the daily email digest.
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Noroxi analysis
What does it mean in your environment?
The assessment above is generated automatically from the record's data; it doesn't know your environment. Our team verifies on your systems whether this vulnerability is actually exploitable and which mitigation is enough.
We use this product, ask for helpAffected systems
Is your version affected?
Pick the product and type the version you run. It's compared with this record's version ranges in your browser; the version isn't sent anywhere.
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Versions reported by the vendor
Affected version ranges reported by the assigning authority (zte). Independent of NVD's CPE analysis and usually ahead of it.
ZTE SmartLife
- ZTE_SL_V5.0.7and all prior released versionsaffected
Same product
zte: all recordsOther highest-scoring records for the same primary product.
- CVE-2026-86553A password reset vulnerability in ZTE SmartLife APP35Monitor
- CVE-2026-86555Hardcoded Key Vulnerability in ZTE SmartLife APP24Monitor
- CVE-2026-86552A vulnerability that skips email ownership verification for account registration in ZTE SmartLife APP21Monitor
- CVE-2026-86554Email enumeration and account ID leakage vulnerabilities in ZTE SmartLife APP17Monitor
Remediation
Which version to upgrade to
Fix versions compiled from the vendor, package registries and Microsoft. Verify the vendor's note before upgrading.
No fix version is recorded for this entry. Check the references for vendor advisories.
Exploit status
No known public exploit
No public exploit has been observed yet. That doesn't mean you're safe, only that the bar is a little higher.
Research context
For pentesters and researchers: attack profile, score disagreement, timeline, patch commits, credits, variant and chain candidates, bug bounty scope. All derived from existing data; no exploit code.
Timeline
From publication to today: proof of concept, Metasploit module, CISA KEV and fix record. Dates are as reported by the sources.
No dated events beyond publication.
FIRST EPSS daily score; only changes of 0.01 or more are recorded (step chart).
Patch and commit links
Commit, PR and diff links among the references. A starting point for patch-diffing and variant hunting; fixes, not exploits.
No commit or PR link among the references.
Credits
All researchersFinders, reporters and analysts named in the CNA record. Click a name for that researcher’s other records.
- DHK Dark Horsefinder
Variant candidates
Same product, same weakness class, within 18 months. If the patch missed the root cause, the sibling bug is here.
No nightly-computed relations.
Chain candidates
An authentication bypass and a privilege-requiring bug in the same product, published close together: combined they may become an unauthenticated path.
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Bug bounty scope
No known public program.
Source: bounty-targets-data (public HackerOne, Bugcrowd, Intigriti, YesWeHack listings).
Technical details
Attack conditions
- Physical access to the device is required.
- A low-privileged account is enough.
- A user must open a link or visit a page.
- Special conditions such as timing or configuration are required.
If successful
- Confidentiality
- high · data can be read
- Integrity
- none
- Availability
- none
- Attack vector
- Physical
- Attack complexity
- High
- Privileges required
- Low
- User interaction
- Required
- Scope
- Unchanged
- Confidentiality impact
- High
- Integrity impact
- None
- Availability impact
- None
Weakness class (CWE)
CWE-89 · Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')CVSS vector
CVSS:3.1/AV:P/AC:H/PR:L/UI:R/S:U/C:H/I:N/A:N
nvd-secondary
Root cause
The query text is built by concatenating user input. The database cannot tell where the data ends and the command begins.
The bug in code
The whole CWE-89 classA representative example of this vulnerability class. Not the vendor's source code; it shows the faulty pattern and its fix.
Vulnerable
const owner = req.query.owner;const rows = await db.query( "SELECT * FROM files WHERE owner = '" + owner + "'");Fixed
const owner = req.query.owner;const rows = await db.query( "SELECT * FROM files WHERE owner = $1", [owner]);Attack context
MITRE CAPEC attack patterns and ATT&CK techniques for this weakness class (CWE). A starting point for detection rules and threat hunting.
Attack patterns (CAPEC)
- Command Line Execution through SQL InjectionCAPEC-108likelihood: Low · Very High
- Object Relational Mapping InjectionCAPEC-109likelihood: Low · High
- SQL Injection through SOAP Parameter TamperingCAPEC-110likelihood: High · Very High
- Expanding Control over the Operating System from the DatabaseCAPEC-470Very High
- SQL InjectionCAPEC-66likelihood: High · High
- Blind SQL InjectionCAPEC-7likelihood: High · High
ATT&CK techniques
—
Change log
No changes recorded on tracked fields yet. Score, KEV, exploit maturity and fix status changes appear here.
References
Vendor advisories and official records. Exploit/PoC links are deliberately left out.