CVE-2026-119736 (GCVE-0-2026-119736)
Vulnerability from cvelistv5 – Published: 2026-11-02 19:02 – Updated: 2026-11-03 19:56
VLAI
EPSS
VEX
Title
Attendo Admin Android 3.0.13 Hard-coded MQTT Broker Credentials
Summary
Attendo (formerly Petpooja Payroll) Admin Android application version 3.0.13 and earlier contains a hard-coded credentials vulnerability that allows attackers to extract production MQTT broker credentials by decompiling the APK's bundled Flutter configuration assets such as production.json and device-command configuration files. Attackers can use the recovered credentials to authenticate to the production MQTT broker over TCP 1883, access messaging topics containing employee attendance records, personal identifiers, Base64-encoded photographs, device telemetry, and authentication material, and publish messages to those topics, resulting in exposure of sensitive data and potential unauthorized message injection.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-11-03 17:57 UTC
CWE
- CWE-798 - Use of Hard-coded Credentials
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://medium.com/@TheWildEye/from-an-android-ap… | technical-descriptionexploit |
| https://play.google.com/store/apps/details?id=com… | product |
| https://www.vulncheck.com/advisories/attendo-admi… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Petpooja | Attendo (formerly Petpooja Payroll) |
Affected:
0 , ≤ 3.0.13
(date)
|
guessed |
Date Public
2026-10-30 00:00
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Sightings
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.