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CVE-2024-37187 (GCVE-0-2024-37187)

Vulnerability from cvelistv5 – Published: 2024-09-27 17:25 – Updated: 2024-09-27 18:08 Unsupported When Assigned
VLAI
Title
Advantech ADAM-5550 Weak Encoding for Password
Summary
Advantech ADAM-5550 share user credentials with a low level of encryption, consisting of base 64 encoding.
Severity
5.7 (Medium)
CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
6.8 (Medium)
CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:A/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-27 18:07 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Advantech ADAM 5550 Affected: all versions
guessed Create a notification for this product.
Credits
Aarón Flecha Menéndez and Luis Villalba Pérez of S21sec reported these vulnerabilities to CISA.
Show details on NVD website
To clipboard 

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


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.