Draw_what_you_like
flag1
在桌面上有flag.txt，直接vol提取
flag2
搜索flag2，发现有flag2.zip
提取出来，里面有一个sqlite文件
发现有密码Digital5211314
桌面上有一个draw.zip文件，提取出来，密码同上
有流量包，是数位板流量，用脚本进行处理：
import os
import matplotlib.pyplot as plt
os.system("tshark -r draw.pcap -T fields -e usbhid.data| sed '/^\s*$/d' > 1.txt")
data=[]
with open('1.txt',"r") as f:
for line in f.readlines():
if line[16:18] !="00":
data.append(line)
X = []
Y = []
for line in data:
x0=int(line[4:6],16)
x1=int(line[6:8],16)
x=x0+x1*256
y0=int(line[8:10],16)
y1=int(line[10:12],16)
y=y0+y1*256
X.append(x)
Y.append(-y)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.set_title("result")
ax1.scatter(X, Y, c='b', marker='o')
plt.show()
flag3
附件给了secret.zip，观察大小刚好是50mb，怀疑是VC容器
在查看文件时发现有一个打什么CTF.jpg文件
提取出来，winhex打开删除多余的空字符，作为密钥文件加载secret.zip
flag03:Verakey_graph}
Secret of the Varied Gif
binwalk分离出一个decode，是SVG路径数据，写脚本处理：
import matplotlib.pyplot as plt
from svg.path import parse_path, Line, CubicBezier, QuadraticBezier, Arc
# 定义SVG路径数据，每个子路径作为一个列表元素
svg_paths = [['m320.66772,62.66697c0,0 0,0.59068 0,1.77203c0,2.36269 0,5.90674 0,8.26943c0,3.54405 0,8.26944 0,10.63214c0,2.95337 0,5.90674 0,10.04146c0,3.54405 0,5.31607 0,7.67877c0,1.18135 0,3.54404 0,5.31606c0,1.77203 0,3.54405 0,4.7254c0,1.18135 0,2.95337 0,4.13471c0,1.18135 0,2.3627 0,3.54405c0,0.59067 0,2.36269 0,3.54404c0,0.59067 0,2.36269 0,2.95337c0,1.77203 0,2.95338 0,4.13472c0,1.77202 0,3.54404 0,4.72539c0,1.18135 0,2.95338 0,4.13472c0,1.77202 0,2.95337 0,4.13471c0,1.18135 0,2.3627 0,3.54405c0,1.18135 0,2.36269 0,3.54404c0,1.18135 0,2.36269 0,3.54404c0,1.18136 0,1.18136 0,2.3627c0,1.18135 0,1.77202 0,2.36269c0,1.18135 0,1.77202 0,2.36269c0,1.18135 0,1.77202 0,2.95337c0,0.59068 0,1.18136 0,1.77203c0,0.59067 0,1.18135 0,1.77202c0,0.59067 0,0.59067 0,2.36269c0,0.59067 0,1.18135 0,1.77202c0,0 0,0.59067 0,1.18135c0,0 -0.34444,0.48657 -0.70833,1.77203c-0.16275,0.57487 -0.54214,0.6806 0,1.77202c0.38335,0.77175 0.70833,1.18135 0.70833,1.18135c-1.41667,0 -1.41667,0 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# 创建图表
fig, ax = plt.subplots()
ax.set_aspect('equal')
# 存储所有点的列表
all_x_points = []
all_y_points = []
# 遍历每个SVG路径
for path_str in svg_paths:
# 解析SVG路径
path_string = path_str[0]
path = parse_path(path_string)
# 存储当前路径的点
current_x_points = []
current_y_points = []
# 遍历路径中的每个段落
for segment in path:
if isinstance(segment, Line):
# 处理直线段
current_x_points.append(segment.start.real)
current_y_points.append(segment.start.imag)
current_x_points.append(segment.end.real)
current_y_points.append(segment.end.imag)
elif isinstance(segment, CubicBezier):
# 处理三次贝塞尔曲线段
current_x_points.append(segment.start.real)
current_y_points.append(segment.start.imag)
for t in [0.0, 0.5, 1.0]:
point = segment.point(t)
current_x_points.append(point.real)
current_y_points.append(point.imag)
elif isinstance(segment, QuadraticBezier):
# 处理二次贝塞尔曲线段
current_x_points.append(segment.start.real)
current_y_points.append(segment.start.imag)
for t in [0.0, 0.5, 1.0]:
point = segment.point(t)
current_x_points.append(point.real)
current_y_points.append(point.imag)
elif isinstance(segment, Arc):
# 处理圆弧段
current_x_points.append(segment.start.real)
current_y_points.append(segment.start.imag)
for t in [0.0, 0.5, 1.0]:
point = segment.point(t)
current_x_points.append(point.real)
current_y_points.append(point.imag)
# 将当前路径的点添加到总列表中
all_x_points.extend(current_x_points)
all_y_points.extend(current_y_points)
# 在每个子路径结束时插入NaN以断开线条
all_x_points.append(float('nan'))
all_y_points.append(float('nan'))
# 绘制路径
ax.plot(all_x_points, all_y_points)
# 设置坐标轴范围
x_min, x_max = min(all_x_points), max(all_x_points)
y_min, y_max = min(all_y_points), max(all_y_points)
ax.set_xlim(x_min - 10, x_max + 10)
ax.set_ylim(y_min - 10, y_max + 10)
# 设置图表标题和轴标签
plt.title('SVG-title')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
# 显示网格线
plt.grid()
# 显示图表
plt.show()
猪圈密码，但是画反了，上下反转一下
但是最后一个对不上，猜了一下是g，acadesvg
