CVE-2017-11580

Exp

Blipcare Wifi blood pressure monitor BP700 10.1 devices allow memory corruption that results in Denial of Service. When connected to the "Blip" open wireless connection provided by the device, if a large string is sent as a part of the HTTP request in any part of the HTTP headers, the device could become completely unresponsive. Presumably this happens as the memory footprint provided to this device is very small. According to the specs from Rezolt, the Wi-Fi module only has 256k of memory. As a result, an incorrect string copy operation using either memcpy, strcpy, or any of their other variants could result in filling up the memory space allocated to the function executing and this would result in memory corruption. To test the theory, one can modify the demo application provided by the Cypress WICED SDK and introduce an incorrect "memcpy" operation and use the compiled application on the evaluation board provided by Cypress semiconductors with exactly the same Wi-Fi SOC. The results were identical where the device would completely stop responding to any of the ping or web requests.

Published: 2019-07-02 Last update: 2024-11-21 Assigner: [email protected] Source: [email protected]

Conclusion & alert: CVE-2017-11580 is rated High Exploit Risk (66.3/100): CVSS Medium severity, with medium exploitation likelihood (EPSS 1.43%). Core evidence: 1 public exploit reference(s) are indexed (Exploit-DB). EPSS rose +1.02% over the last day, indicating growing attacker interest. Mandatory action: Public exploits are available—assess exposure, apply mitigations, and prioritize patching.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Public exploit references (Exploit-DB) for CVE-2017-11580

EDB-ID Source Kind Published Link
nvd_ref exploit_tag Exploit-DB ↗

Exploit prediction scoring system (EPSS) score for CVE-2017-11580

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-06-15 0.41% 1.43% +1.02%
2 2026-06-02 0.50% 0.41% -0.09%
3 2025-03-17 0.50%

Full EPSS history (10 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2017-11580

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
6.5 3.0 MEDIUM
CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Click to expand
Attack vector (AV:A)
Attacker has to be nearby on the network—same office, same link, that vibe—not the whole wide internet.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
2.8 3.6 [email protected]
6.1 2.0 MEDIUM
AV:A/AC:L/Au:N/C:N/I:N/A:C Click to expand
Access vector (AV:A)
Requires access to an adjacent network segment.
Access complexity (AC:L)
Exploitation conditions are straightforward and predictable.
Authentication (AU:N)
No authentication is required.
Confidentiality impact (C:N)
No confidentiality impact.
Integrity impact (I:N)
No integrity impact.
Availability impact (A:C)
Complete availability impact.
6.5 6.9 [email protected]

Weakness enumeration for CVE-2017-11580

Affected software / configurations for CVE-2017-11580

Vendor Product Version Raw CPE
blipcare wi-fi_blood_pressure_monitor_firmware <= bp700_10.1 cpe:2.3:o:blipcare:wi-fi_blood_pressure_monitor_firmware:*:*:*:*:*:*:*:*

References for CVE-2017-11580

cvelogic Threat Intelligence