CVE-2025-56608 (GCVE-0-2025-56608)
Vulnerability from cvelistv5 – Published: 2025-09-03 00:00 – Updated: 2025-09-03 19:09
VLAI
EPSS
VEX
Summary
The SourceCodester Android application "Corona Virus Tracker App India" 1.0 uses MD5 for digest authentication in `OkHttpClientWrapper.java`. The `handleDigest()` function employs `MessageDigest.getInstance("MD5")` to hash credentials. MD5 is a broken cryptographic algorithm known to allow hash collisions. This makes the authentication mechanism vulnerable to replay, spoofing, or brute-force attacks, potentially leading to unauthorized access. The vulnerability corresponds to CWE-327 and aligns with OWASP M5: Insufficient Cryptography and MASVS MSTG-CRYPTO-4.
Severity
4.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-03 19:08 UTC
CWE
- n/a
- CWE-290 - Authentication Bypass by Spoofing
Assigner
References
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| Author | Source | Type | Date | Other |
|---|
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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