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Security audit

geoskill-bathymetry-estimation

Security checks across malware telemetry and agentic risk

Overview

The main bathymetry tool is mostly local, but the package also includes under-disclosed credential, network, and download helpers that are broader than the stated purpose.

Review this skill before installing. Use it only if you are comfortable with bundled code that can read local credential stores and make network requests if imported or invoked; avoid storing unrelated secrets in ~/.netrc or ~/.geoskill/secrets.json on systems where this package is used, and prefer running only the documented synthetic/local-input CLI path in an isolated environment.

SkillSpector

By NVIDIA
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
Findings (30)

Lp3

Medium
Category
MCP Least Privilege
Confidence
85% confidence
Finding
The skill documentation declares no permissions, yet its described execution path and detected capabilities include environment access, filesystem read/write, shell use, and network access. This mismatch prevents informed consent and can expose local files, secrets, or trigger external connections unexpectedly when users believe the skill runs purely offline.

Tp4

High
Category
MCP Tool Poisoning
Confidence
96% confidence
Finding
The declared purpose is shallow-water bathymetry estimation, but the analyzed behavior includes credential handling for NASA Earthdata, online/offline AOI resolution, calls to external services, a generic downloader, and broader metadata/manifest frameworks. This is a substantial scope mismatch that can conceal sensitive operations such as credential parsing and network exfiltration paths under an innocuous geospatial label.

Intent-Code Divergence

Medium
Confidence
92% confidence
Finding
The module-level documentation states these checks are 'forced' before outputs are written, but the implementation only accumulates warning lists and never raises, blocks, or enforces anything in the write path. In a geospatial bathymetry workflow, this can create a false sense of safety so invalid CRS, unit, nodata, or bbox metadata may still propagate into downstream products and scientific decisions.

Intent-Code Divergence

Medium
Confidence
95% confidence
Finding
The code documents that bbox values crossing the 180° meridian must be rejected unless specially handled, but the implementation only flags longitudes outside [-180, 180] and separately treats W>=E as a generic ordering error. As a result, a canonical antimeridian-crossing bbox such as [170, -10, -170, 10] is not identified according to the stated rule, which can cause area, clipping, and spatial selection logic to behave incorrectly.

Description-Behavior Mismatch

High
Confidence
95% confidence
Finding
This skill includes a generalized credential-management module that is far broader than needed for shallow-water bathymetry estimation. In this context, adding support for multiple unrelated accounts and API keys increases the attack surface and creates an unnecessary capability to access sensitive local credentials.

Context-Inappropriate Capability

High
Confidence
97% confidence
Finding
The module reads credentials from environment variables, ~/.geoskill/secrets.json, and ~/.netrc, giving the skill broad access to locally stored secrets. For a bathymetry-estimation skill, that capability is disproportionate and dangerous because any later code path can silently reuse harvested credentials for unrelated services.

Context-Inappropriate Capability

Medium
Confidence
85% confidence
Finding
The helper performs arbitrary URL fetches and writes the response to attacker-influenced local paths without any built-in allowlist, scheme restriction, or mandatory integrity check. In a skill whose stated purpose is shallow-water depth estimation, this general remote-download primitive expands the attack surface and could be abused to pull untrusted payloads, oversized content, or data from internal services if callers pass untrusted URLs.

Context-Inappropriate Capability

Medium
Confidence
77% confidence
Finding
The code sends user-supplied place names to third-party geocoding services, creating outbound network exfiltration of potentially sensitive AOI queries. In a bathymetry skill, this hidden or weakly justified network capability broadens the attack surface and can leak operational interest, location intent, or user data to external providers.

Missing User Warnings

High
Confidence
99% confidence
Finding
The code hardcodes fallback credentials, including a plaintext Earthdata username and password, directly in source. Hardcoded secrets are immediately exposed to anyone with repository access and may be abused for unauthorized access, credential stuffing, or further compromise if reused elsewhere.

Credential Access

High
Category
Privilege Escalation
Content
/ `EARTHDATA_TOKEN` / `FIRMS_MAP_KEY` / `OPENAI_API_KEY` /
  `CMA_API_KEY` / `EOG_USERNAME` / `EOG_PASSWORD` 任何一项显式设置
  都优先于默认值。
- **支持 .netrc**:若 ~/.netrc 中存在 `machine urs.earthdata.nasa.gov`
  行,优先取 .netrc 凭证。
- **支持用户级 secrets 文件** ``~/.geoskill/secrets.json``:Phase 7
  (2026-07-27) 新增。本文件在用户 home,**不** vendor 到任何 skill,
Confidence
93% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
/ `EARTHDATA_TOKEN` / `FIRMS_MAP_KEY` / `OPENAI_API_KEY` /
  `CMA_API_KEY` / `EOG_USERNAME` / `EOG_PASSWORD` 任何一项显式设置
  都优先于默认值。
- **支持 .netrc**:若 ~/.netrc 中存在 `machine urs.earthdata.nasa.gov`
  行,优先取 .netrc 凭证。
- **支持用户级 secrets 文件** ``~/.geoskill/secrets.json``:Phase 7
  (2026-07-27) 新增。本文件在用户 home,**不** vendor 到任何 skill,
Confidence
93% confidence
Finding
~/.netrc

Credential Access

High
Category
Privilege Escalation
Content
`CMA_API_KEY` / `EOG_USERNAME` / `EOG_PASSWORD` 任何一项显式设置
  都优先于默认值。
- **支持 .netrc**:若 ~/.netrc 中存在 `machine urs.earthdata.nasa.gov`
  行,优先取 .netrc 凭证。
- **支持用户级 secrets 文件** ``~/.geoskill/secrets.json``:Phase 7
  (2026-07-27) 新增。本文件在用户 home,**不** vendor 到任何 skill,
  **不** push 到 GitHub;用于把个人真实凭证(NASA Earthdata bearer
Confidence
93% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
(2026-07-27) 新增。本文件在用户 home,**不** vendor 到任何 skill,
  **不** push 到 GitHub;用于把个人真实凭证(NASA Earthdata bearer
  token 等)放在 skill 之外。
- **不缓存密码**:每次调用读环境或 .netrc(避免长寿命进程泄露)。
- **统一接口**:`get_earthdata_creds()` / `get_earthdata_token()` /
  `get_firms_key()` / `get_cma_key()` / `get_openai_key()` /
  `get_eog_creds()` 六个 helper。
Confidence
92% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
"EOG_PASSWORD": "",
}

# .netrc 解析(仅在 UNIX-like / WSL 下 ~/.netrc 可用;Windows 下
# 通常用 %USERPROFILE%\_netrc,但 .netrc 本身仍是约定俗成的名称)。
_NETRC_HOSTS = {
    "urs.earthdata.nasa.gov": ("EARTHDATA_USERNAME", "EARTHDATA_PASSWORD"),
Confidence
94% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
"EOG_PASSWORD": "",
}

# .netrc 解析(仅在 UNIX-like / WSL 下 ~/.netrc 可用;Windows 下
# 通常用 %USERPROFILE%\_netrc,但 .netrc 本身仍是约定俗成的名称)。
_NETRC_HOSTS = {
    "urs.earthdata.nasa.gov": ("EARTHDATA_USERNAME", "EARTHDATA_PASSWORD"),
Confidence
94% confidence
Finding
~/.netrc

Credential Access

High
Category
Privilege Escalation
Content
}

# .netrc 解析(仅在 UNIX-like / WSL 下 ~/.netrc 可用;Windows 下
# 通常用 %USERPROFILE%\_netrc,但 .netrc 本身仍是约定俗成的名称)。
_NETRC_HOSTS = {
    "urs.earthdata.nasa.gov": ("EARTHDATA_USERNAME", "EARTHDATA_PASSWORD"),
    "firms.modaps.eosdis.nasa.gov": ("FIRMS_MAP_KEY",),
Confidence
94% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
def _read_netrc(host: str) -> Optional[Tuple[str, ...]]:
    """从 ~/.netrc 读指定 host 的凭证(无 token 格式)。"""
    for path in (Path.home() / ".netrc", Path.home() / "_netrc"):
        if not path.is_file():
            continue
Confidence
96% confidence
Finding
~/.netrc

Credential Access

High
Category
Privilege Escalation
Content
def _read_netrc(host: str) -> Optional[Tuple[str, ...]]:
    """从 ~/.netrc 读指定 host 的凭证(无 token 格式)。"""
    for path in (Path.home() / ".netrc", Path.home() / "_netrc"):
        if not path.is_file():
            continue
        try:
Confidence
95% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
def _resolve(name: str) -> str:
    """env > 用户 secrets > .netrc > 默认. 空字符串视为未设."""
    env_val = os.environ.get(name, "").strip()
    if env_val:
        return env_val
Confidence
90% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
def _resolve_with_netrc(env_name: str, netrc_host: str, field_index: int) -> str:
    """env > 用户 secrets > .netrc > 默认."""
    env_val = os.environ.get(env_name, "").strip()
    if env_val:
        return env_val
Confidence
95% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
解析顺序:
    1. env: EARTHDATA_USERNAME / EARTHDATA_PASSWORD
    2. ~/.geoskill/secrets.json
    3. .netrc: machine urs.earthdata.nasa.gov
    4. _DEFAULTS 兜底
    """
    u = _resolve_with_netrc("EARTHDATA_USERNAME", "urs.earthdata.nasa.gov", 0)
Confidence
94% confidence
Finding
.netrc

Credential Access

High
Category
Privilege Escalation
Content
都优先于默认值。
- **支持 .netrc**:若 ~/.netrc 中存在 `machine urs.earthdata.nasa.gov`
  行,优先取 .netrc 凭证。
- **支持用户级 secrets 文件** ``~/.geoskill/secrets.json``:Phase 7
  (2026-07-27) 新增。本文件在用户 home,**不** vendor 到任何 skill,
  **不** push 到 GitHub;用于把个人真实凭证(NASA Earthdata bearer
  token 等)放在 skill 之外。
Confidence
92% confidence
Finding
secrets.json

Credential Access

High
Category
Privilege Escalation
Content
_DEFAULTS: dict[str, str] = {
    "EARTHDATA_USERNAME": "ruiduobao",
    "EARTHDATA_PASSWORD": "Ruiduobao123",
    "EARTHDATA_TOKEN": "",  # 用户级 secrets.json 提供(不走默认值以免推到 GitHub)
    "FIRMS_MAP_KEY": "",
    "CMA_API_KEY": "",
    "OPENAI_API_KEY": "",
Confidence
98% confidence
Finding
secrets.json

Credential Access

High
Category
Privilege Escalation
Content
# 用户级 secrets 文件位置(在用户 home,**不** vendor 到 skill 内部)。
# Phase 7 (2026-07-27): 包含 NASA Earthdata bearer token 等真实凭证。
USER_SECRETS_PATH = Path.home() / ".geoskill" / "secrets.json"

# 是否已加载过用户级 secrets(避免每次调用都重读)
_user_secrets_loaded = False
Confidence
94% confidence
Finding
secrets.json

Credential Access

High
Category
Privilege Escalation
Content
def load_user_secrets(path: Optional[Path] = None, *, force: bool = False) -> bool:
    """从 ``~/.geoskill/secrets.json`` 加载用户级凭证到 _DEFAULTS.

    Phase 7 (2026-07-27): 第一次调用自动加载(lazy)。之后每个 helper
    调用也会 lazy 加载,除非显式 ``force=True`` 强制重读。返回 True
Confidence
96% confidence
Finding
secrets.json

VirusTotal

VirusTotal findings are pending for this skill version.

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Static analysis

Detected: suspicious.dynamic_code_execution

Dynamic code execution detected.

Critical
Code
suspicious.dynamic_code_execution
Location
tests/conftest.py:15