CVE-2022-28127
Published: 30 June 2022
Summary
CVE-2022-28127 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Robustel R1510 Firmware. Its CVSS base score is 9.1 (Critical).
Operationally, ranked in the top 9.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
A data removal vulnerability exists in the web_server /action/remove/ API of the Robustel R1510 firmware version 3.3.0. The flaw stems from improper input validation and path traversal issues that allow a specially crafted network request to delete arbitrary files on the device.
Unauthenticated attackers with network access can exploit the vulnerability by sending a sequence of requests to the affected API endpoint. Successful exploitation results in arbitrary file deletion, which can disrupt device operation and compromise data integrity without requiring user interaction.
The associated Talos advisory (TALOS-2022-1571) details the issue but provides no public information on vendor patches or specific mitigation steps. The EPSS score has remained flat at 0.0531 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-32609
Vulnerability details
A data removal vulnerability exists in the web_server /action/remove/ API functionality of Robustel R1510 3.3.0. A specially-crafted network request can lead to arbitrary file deletion. An attacker can send a sequence of requests to trigger this vulnerability.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Directly implements checks on information inputs to reject invalid data before processing.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.